------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/nathannunn/Documents/Dropbox/Potatoes/REPLICATION_FILES/Replication_co
> untry_level_results.log
  log type:  text
 opened on:  19 Sep 2010, 18:33:51

. 
. use "country_level_panel_for_web.dta", clear

. 
. foreach x in 1000 1100 1200 1300 1400 1500 1600 1700 1750 1800 1850 1900{
  2.         gen ln_wpot_`x'=ln_wpot*ydum`x'
  3.         gen ln_all_`x'=ln_all*ydum`x'
  4.         gen ln_nworld_`x'=ln_nworld*ydum`x'
  5.         gen ln_oworld_`x'=ln_oworld*ydum`x'
  6.         gen ln_tropical_`x'=ln_tropical*ydum`x'
  7.         gen ln_rugged_`x'=ln_rugged*ydum`x'
  8.         gen ln_elevation_`x'=ln_elevation*ydum`x'
  9.         gen ln_disteq_`x'=ln_disteq*ydum`x'
 10.         gen ln_dist_coast_`x'=ln_dist_coast*ydum`x'
 11.         gen ln_export_`x'=ln_export*ydum`x'
 12.         gen malaria_`x'=malaria*ydum`x'
 13.         gen ln_spot_`x'=ln_spot*ydum`x'
 14.         gen ln_silagemaize_`x'=ln_silagemaize*ydum`x'
 15.         gen ln_maize_`x'=ln_maize*ydum`x'
 16.         gen ln_cassava_`x'=ln_cassava*ydum`x'
 17.         }

. 
. /* Locals for the control variables */
. local ln_potato_flexible "ln_wpot_1100 ln_wpot_1200 ln_wpot_1300 ln_wpot_1400 ln_wpot_15
> 00 ln_wpot_1600 ln_wpot_1700 ln_wpot_1750 ln_wpot_1800 ln_wpot_1850 ln_wpot_1900"

. local ydum_flexible "ydum1100 ydum1200 ydum1300 ydum1400 ydum1500 ydum1600 ydum1700 ydum
> 1750 ydum1800 ydum1850 ydum1900"

. local ln_all_flexible "ln_all_1100 ln_all_1200 ln_all_1300 ln_all_1400 ln_all_1500 ln_al
> l_1600 ln_all_1700 ln_all_1750 ln_all_1800 ln_all_1850 ln_all_1900"

. local ln_nworld_flexible "ln_nworld_1100 ln_nworld_1200 ln_nworld_1300 ln_nworld_1400 ln
> _nworld_1500 ln_nworld_1600 ln_nworld_1700 ln_nworld_1750 ln_nworld_1800 ln_nworld_1850 
> ln_nworld_1900"

. local ln_oworld_flexible "ln_oworld_1100 ln_oworld_1200 ln_oworld_1300 ln_oworld_1400 ln
> _oworld_1500 ln_oworld_1600 ln_oworld_1700 ln_oworld_1750 ln_oworld_1800 ln_oworld_1850 
> ln_oworld_1900"

. local ln_tropical_flexible "ln_tropical_1100 ln_tropical_1200 ln_tropical_1300 ln_tropic
> al_1400 ln_tropical_1500 ln_tropical_1600 ln_tropical_1700 ln_tropical_1750 ln_tropical_
> 1800 ln_tropical_1850 ln_tropical_1900"

. local ln_rugged_flexible "ln_rugged_1100 ln_rugged_1200 ln_rugged_1300 ln_rugged_1400 ln
> _rugged_1500 ln_rugged_1600 ln_rugged_1700 ln_rugged_1750 ln_rugged_1800 ln_rugged_1850 
> ln_rugged_1900"

. local ln_elevation_flexible "ln_elevation_1100 ln_elevation_1200 ln_elevation_1300 ln_el
> evation_1400 ln_elevation_1500 ln_elevation_1600 ln_elevation_1700 ln_elevation_1750 ln_
> elevation_1800 ln_elevation_1850 ln_elevation_1900"

. local ln_disteq_flexible "ln_disteq_1100 ln_disteq_1200 ln_disteq_1300 ln_disteq_1400 ln
> _disteq_1500 ln_disteq_1600 ln_disteq_1700 ln_disteq_1750 ln_disteq_1800 ln_disteq_1850 
> ln_disteq_1900"

. local ln_dist_coast_flexible "ln_dist_coast_1100 ln_dist_coast_1200 ln_dist_coast_1300 l
> n_dist_coast_1400 ln_dist_coast_1500 ln_dist_coast_1600 ln_dist_coast_1700 ln_dist_coast
> _1750 ln_dist_coast_1800 ln_dist_coast_1850 ln_dist_coast_1900"

. local malaria_flexible "malaria_1100 malaria_1200 malaria_1300 malaria_1400 malaria_1500
>  malaria_1600 malaria_1700 malaria_1750 malaria_1800 malaria_1850 malaria_1900"

. local ln_export_flexible "ln_export_1100 ln_export_1200 ln_export_1300 ln_export_1400 ln
> _export_1500 ln_export_1600 ln_export_1700 ln_export_1750 ln_export_1800 ln_export_1850 
> ln_export_1900"

. 
. local ln_spot_flexible "ln_spot_1100 ln_spot_1200 ln_spot_1300 ln_spot_1400 ln_spot_1500
>  ln_spot_1600 ln_spot_1700 ln_spot_1750 ln_spot_1800 ln_spot_1850 ln_spot_1900"

. local ln_silagemaize_flexible "ln_silagemaize_1100 ln_silagemaize_1200 ln_silagemaize_13
> 00 ln_silagemaize_1400 ln_silagemaize_1500 ln_silagemaize_1600 ln_silagemaize_1700 ln_si
> lagemaize_1750 ln_silagemaize_1800 ln_silagemaize_1850 ln_silagemaize_1900"

. local ln_maize_flexible "ln_maize_1100 ln_maize_1200 ln_maize_1300 ln_maize_1400 ln_maiz
> e_1500 ln_maize_1600 ln_maize_1700 ln_maize_1750 ln_maize_1800 ln_maize_1850 ln_maize_19
> 00"

. local ln_cassava_flexible "ln_cassava_1100 ln_cassava_1200 ln_cassava_1300 ln_cassava_14
> 00 ln_cassava_1500 ln_cassava_1600 ln_cassava_1700 ln_cassava_1750 ln_cassava_1800 ln_ca
> ssava_1850 ln_cassava_1900"

. 
. *********************************************
. *** TABLE 2 - BASELINE FLEXIBLE ESTIMATES ***
. *********************************************
. 
. *** Total Population ***
. * Col 1
. xi: areg ln_population `ln_potato_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 22,   129) =   61.13
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9885
                                                       Adj R-squared =  0.9873
                                                       Root MSE      =  .26088

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_1100 |   .0128606   .0027998     4.59   0.000     .0073211    .0184001
ln_wpot_1200 |   .0294485   .0050882     5.79   0.000     .0193814    .0395156
ln_wpot_1300 |   .0394909    .006919     5.71   0.000     .0258016    .0531803
ln_wpot_1400 |   .0185472   .0076015     2.44   0.016     .0035075    .0335869
ln_wpot_1500 |   .0339602   .0093451     3.63   0.000     .0154706    .0524498
ln_wpot_1600 |   .0405426   .0094968     4.27   0.000     .0217529    .0593323
ln_wpot_1700 |   .0427272   .0116823     3.66   0.000     .0196136    .0658408
ln_wpot_1750 |    .054931    .012418     4.42   0.000     .0303617    .0795002
ln_wpot_1800 |   .0725947   .0138663     5.24   0.000       .04516    .1000295
ln_wpot_1850 |   .0946689   .0147397     6.42   0.000      .065506    .1238317
ln_wpot_1900 |   .1213388   .0171579     7.07   0.000     .0873914    .1552862
 _Iyear_1100 |   .0807333   .0105634     7.64   0.000     .0598334    .1016332
 _Iyear_1200 |   .1548863   .0195944     7.90   0.000     .1161183    .1936543
 _Iyear_1300 |   .2208186   .0291806     7.57   0.000      .163084    .2785532
 _Iyear_1400 |   .2971507   .0356836     8.33   0.000     .2265498    .3677516
 _Iyear_1500 |   .3683436   .0442359     8.33   0.000     .2808218    .4558654
 _Iyear_1600 |   .5332234   .0464765    11.47   0.000     .4412685    .6251784
 _Iyear_1700 |   .6494068   .0578703    11.22   0.000     .5349089    .7639047
 _Iyear_1750 |   .7184428   .0627637    11.45   0.000     .5942632    .8426224
 _Iyear_1800 |   .7852391   .0688786    11.40   0.000      .648961    .9215172
 _Iyear_1850 |   .9330097    .075076    12.43   0.000     .7844701    1.081549
 _Iyear_1900 |   1.185161   .0922121    12.85   0.000     1.002718    1.367605
       _cons |   12.64269   .0338385   373.62   0.000     12.57574    12.70964
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. test (ln_wpot_1750=0) (ln_wpot_1800=0) (ln_wpot_1850=0) (ln_wpot_1900=0)

 ( 1)  ln_wpot_1750 = 0
 ( 2)  ln_wpot_1800 = 0
 ( 3)  ln_wpot_1850 = 0
 ( 4)  ln_wpot_1900 = 0

       F(  4,   129) =   17.88
            Prob > F =    0.0000

. * Col 2
. xi: areg ln_population `ln_potato_flexible' `ln_oworld_flexible' i.year, a(isocode) clus
> ter(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 33,   129) =   46.52
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9892
                                                       Adj R-squared =  0.9879
                                                       Root MSE      =  .25436

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_1100 |   .0107357    .002804     3.83   0.000     .0051879    .0162834
ln_wpot_1200 |   .0244192   .0053221     4.59   0.000     .0138893    .0349492
ln_wpot_1300 |   .0307885   .0074501     4.13   0.000     .0160483    .0455286
ln_wpot_1400 |   .0039663   .0080703     0.49   0.624    -.0120011    .0199336
ln_wpot_1500 |   .0144765   .0099275     1.46   0.147    -.0051653    .0341183
ln_wpot_1600 |   .0208527    .010519     1.98   0.050     .0000405    .0416649
ln_wpot_1700 |   .0178894   .0128346     1.39   0.166    -.0075042    .0432831
ln_wpot_1750 |   .0302725   .0138303     2.19   0.030      .002909    .0576361
ln_wpot_1800 |   .0478328   .0154607     3.09   0.002     .0172434    .0784222
ln_wpot_1850 |   .0685914   .0172111     3.99   0.000     .0345388     .102644
ln_wpot_1900 |   .0923494   .0208822     4.42   0.000     .0510335    .1336653
ln_owor~1100 |   .0052725   .0033825     1.56   0.121    -.0014197    .0119648
ln_owor~1200 |   .0124788   .0053617     2.33   0.022     .0018705    .0230871
ln_owor~1300 |   .0215927   .0071284     3.03   0.003      .007489    .0356963
ln_owor~1400 |   .0361575   .0083697     4.32   0.000     .0195979    .0527172
ln_owor~1500 |   .0483347   .0100799     4.80   0.000     .0283913    .0682781
ln_owor~1600 |   .0488469    .010367     4.71   0.000     .0283356    .0693582
ln_owor~1700 |   .0616329   .0132798     4.64   0.000     .0353585    .0879072
ln_owor~1750 |   .0611875   .0146048     4.19   0.000     .0322916    .0900833
ln_owor~1800 |   .0614446   .0162129     3.79   0.000      .029367    .0935222
ln_owor~1850 |    .064712   .0174482     3.71   0.000     .0301902    .0992337
ln_owor~1900 |   .0719444   .0218102     3.30   0.001     .0287925    .1150964
 _Iyear_1100 |   .0513796   .0252324     2.04   0.044     .0014567    .1013024
 _Iyear_1200 |   .0854133   .0384733     2.22   0.028     .0092929    .1615338
 _Iyear_1300 |   .1006061   .0493534     2.04   0.044     .0029593    .1982529
 _Iyear_1400 |   .0958573   .0554963     1.73   0.087    -.0139435     .205658
 _Iyear_1500 |   .0992531   .0666102     1.49   0.139    -.0325368     .231043
 _Iyear_1600 |   .2612812   .0633822     4.12   0.000      .135878    .3866843
 _Iyear_1700 |   .3062781   .0839294     3.65   0.000     .1402219    .4723344
 _Iyear_1750 |    .377794   .0908746     4.16   0.000     .1979964    .5575917
 _Iyear_1800 |   .4431588   .1004118     4.41   0.000     .2444917    .6418259
 _Iyear_1850 |   .5727382   .0987156     5.80   0.000     .3774269    .7680495
 _Iyear_1900 |   .7846227   .1179844     6.65   0.000     .5511877    1.018058
       _cons |   12.64274   .0326614   387.09   0.000     12.57812    12.70736
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. test (ln_wpot_1750=0) (ln_wpot_1800=0) (ln_wpot_1850=0) (ln_wpot_1900=0)

 ( 1)  ln_wpot_1750 = 0
 ( 2)  ln_wpot_1800 = 0
 ( 3)  ln_wpot_1850 = 0
 ( 4)  ln_wpot_1900 = 0

       F(  4,   129) =   13.60
            Prob > F =    0.0000

. * Col 3
. xi: areg ln_population `ln_potato_flexible' `ln_oworld_flexible' `ln_elevation_flexible'
>  `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 66,   129) =   65.95
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9901
                                                       Adj R-squared =  0.9887
                                                       Root MSE      =   .2461

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_1100 |   .0120226   .0040352     2.98   0.003     .0040389    .0200063
ln_wpot_1200 |   .0235639   .0072308     3.26   0.001     .0092575    .0378702
ln_wpot_1300 |   .0299633   .0104701     2.86   0.005     .0092479    .0506786
ln_wpot_1400 |   .0210718    .012113     1.74   0.084     -.002894    .0450377
ln_wpot_1500 |   .0269501    .014315     1.88   0.062    -.0013725    .0552728
ln_wpot_1600 |   .0260635   .0154143     1.69   0.093    -.0044341    .0565611
ln_wpot_1700 |   .0240949   .0182317     1.32   0.189    -.0119769    .0601668
ln_wpot_1750 |   .0312583   .0199373     1.57   0.119    -.0081882    .0707047
ln_wpot_1800 |   .0408335   .0222412     1.84   0.069    -.0031712    .0848382
ln_wpot_1850 |   .0601981    .020257     2.97   0.004     .0201191    .1002771
ln_wpot_1900 |    .079503   .0240815     3.30   0.001     .0318571    .1271489
ln_owor~1100 |   .0037233   .0050972     0.73   0.466    -.0063617    .0138083
ln_owor~1200 |    .014421   .0090937     1.59   0.115    -.0035711    .0324131
ln_owor~1300 |   .0239015   .0128273     1.86   0.065    -.0014775    .0492806
ln_owor~1400 |   .0131962   .0149826     0.88   0.380    -.0164471    .0428396
ln_owor~1500 |   .0322596   .0167913     1.92   0.057    -.0009624    .0654816
ln_owor~1600 |   .0432873   .0171853     2.52   0.013     .0092857    .0772888
ln_owor~1700 |    .055649   .0211509     2.63   0.010     .0138015    .0974966
ln_owor~1750 |   .0625758   .0226627     2.76   0.007     .0177372    .1074145
ln_owor~1800 |   .0742392   .0249517     2.98   0.003     .0248717    .1236066
ln_owor~1850 |   .0797366   .0253827     3.14   0.002     .0295163    .1299568
ln_owor~1900 |    .093773   .0308688     3.04   0.003     .0326983    .1548477
ln_elev~1100 |  -.0117007    .012032    -0.97   0.333    -.0355064    .0121049
ln_elev~1200 |  -.0392289   .0243386    -1.61   0.109    -.0873834    .0089256
ln_elev~1300 |  -.0661343   .0336165    -1.97   0.051    -.1326454    .0003768
ln_elev~1400 |  -.0244539   .0359942    -0.68   0.498    -.0956693    .0467616
ln_elev~1500 |  -.0614861   .0441511    -1.39   0.166    -.1488401    .0258679
ln_elev~1600 |  -.0952809   .0478471    -1.99   0.049    -.1899476   -.0006142
ln_elev~1700 |  -.1579059   .0583384    -2.71   0.008    -.2733298    -.042482
ln_elev~1750 |   -.173442   .0618462    -2.80   0.006    -.2958062   -.0510778
ln_elev~1800 |    -.20224   .0683264    -2.96   0.004    -.3374255   -.0670545
ln_elev~1850 |  -.2175692   .0754181    -2.88   0.005    -.3667858   -.0683526
ln_elev~1900 |  -.2703044   .0915766    -2.95   0.004     -.451491   -.0891179
ln_trop~1100 |   .0010216     .00262     0.39   0.697    -.0041622    .0062054
ln_trop~1200 |   -.001782   .0051144    -0.35   0.728    -.0119011     .008337
ln_trop~1300 |  -.0006662   .0076823    -0.09   0.931    -.0158659    .0145335
ln_trop~1400 |   .0187761   .0088131     2.13   0.035     .0013392     .036213
ln_trop~1500 |   .0154344   .0102642     1.50   0.135    -.0048736    .0357425
ln_trop~1600 |   .0077919   .0104928     0.74   0.459    -.0129683    .0285522
ln_trop~1700 |   .0103701   .0125438     0.83   0.410    -.0144481    .0351883
ln_trop~1750 |   .0058365    .013535     0.43   0.667    -.0209428    .0326159
ln_trop~1800 |  -.0021308   .0150239    -0.14   0.887     -.031856    .0275944
ln_trop~1850 |  -.0051048   .0141907    -0.36   0.720    -.0331816    .0229719
ln_trop~1900 |   -.006283   .0163506    -0.38   0.701     -.038633     .026067
ln_rugg~1100 |  -.0024384   .0134012    -0.18   0.856     -.028953    .0240762
ln_rugg~1200 |  -.0011605   .0265391    -0.04   0.965    -.0536688    .0513479
ln_rugg~1300 |   .0156319   .0361877     0.43   0.666    -.0559664    .0872303
ln_rugg~1400 |   .0011929   .0451799     0.03   0.979    -.0881967    .0905824
ln_rugg~1500 |   .0280724   .0531689     0.53   0.598    -.0771236    .1332684
ln_rugg~1600 |   .0395839   .0569118     0.70   0.488    -.0730175    .1521852
ln_rugg~1700 |   .0665238   .0689279     0.97   0.336    -.0698519    .2028994
ln_rugg~1750 |   .0838238   .0749608     1.12   0.266     -.064488    .2321356
ln_rugg~1800 |   .0998142    .082776     1.21   0.230    -.0639602    .2635885
ln_rugg~1850 |   .0869857   .0876069     0.99   0.323    -.0863467    .2603181
ln_rugg~1900 |   .1381735   .1036675     1.33   0.185    -.0669352    .3432822
 _Iyear_1100 |   .1233137   .0711374     1.73   0.085    -.0174334    .2640608
 _Iyear_1200 |    .317096   .1403672     2.26   0.026      .039376    .5948159
 _Iyear_1300 |   .4899162   .1964254     2.49   0.014     .1012838    .8785486
 _Iyear_1400 |   .2692544   .2071784     1.30   0.196    -.1406532     .679162
 _Iyear_1500 |   .4813735   .2588786     1.86   0.065    -.0308241    .9935712
 _Iyear_1600 |   .8305453   .2811996     2.95   0.004     .2741851    1.386906
 _Iyear_1700 |   1.245558   .3382395     3.68   0.000     .5763429    1.914773
 _Iyear_1750 |   1.398424    .358743     3.90   0.000     .6886421    2.108206
 _Iyear_1800 |   1.619479   .3965571     4.08   0.000     .8348811    2.404077
 _Iyear_1850 |    1.83945   .4375383     4.20   0.000     .9737697     2.70513
 _Iyear_1900 |   2.350431   .5413227     4.34   0.000     1.279411    3.421451
       _cons |   12.64235   .0321437   393.31   0.000     12.57875    12.70595
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. test (ln_wpot_1750=0) (ln_wpot_1800=0) (ln_wpot_1850=0) (ln_wpot_1900=0)

 ( 1)  ln_wpot_1750 = 0
 ( 2)  ln_wpot_1800 = 0
 ( 3)  ln_wpot_1850 = 0
 ( 4)  ln_wpot_1900 = 0

       F(  4,   129) =    4.20
            Prob > F =    0.0031

. 
. *** City Population Share ***
. * Col 4
. xi: areg city_pop_share `ln_potato_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 22,   129) =    3.83
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4179
                                                       Adj R-squared =  0.3551
                                                       Root MSE      =   .0391

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_1100 |  -.0017784   .0014366    -1.24   0.218    -.0046208     .001064
ln_wpot_1200 |  -.0010711   .0009001    -1.19   0.236    -.0028519    .0007097
ln_wpot_1300 |  -.0002035   .0007952    -0.26   0.798    -.0017768    .0013698
ln_wpot_1400 |   .0007566   .0011864     0.64   0.525    -.0015908     .003104
ln_wpot_1500 |   .0003272   .0008578     0.38   0.704      -.00137    .0020244
ln_wpot_1600 |   .0002331   .0014252     0.16   0.870    -.0025866    .0030529
ln_wpot_1700 |   .0019798   .0009552     2.07   0.040     .0000898    .0038697
ln_wpot_1750 |   .0014682   .0008879     1.65   0.101    -.0002886    .0032251
ln_wpot_1800 |   .0020031   .0008949     2.24   0.027     .0002325    .0037736
ln_wpot_1850 |   .0023696   .0010537     2.25   0.026     .0002848    .0044544
ln_wpot_1900 |   .0118203   .0022693     5.21   0.000     .0073305    .0163102
 _Iyear_1100 |   .0073814   .0099062     0.75   0.458    -.0122182     .026981
 _Iyear_1200 |   .0048485    .005147     0.94   0.348     -.005335    .0150319
 _Iyear_1300 |  -.0050761   .0041944    -1.21   0.228    -.0133748    .0032227
 _Iyear_1400 |  -.0006705   .0045128    -0.15   0.882    -.0095991    .0082582
 _Iyear_1500 |   -.000057   .0044142    -0.01   0.990    -.0087905    .0086766
 _Iyear_1600 |   .0016513   .0091133     0.18   0.856    -.0163796    .0196822
 _Iyear_1700 |  -.0034908   .0046076    -0.76   0.450    -.0126071    .0056254
 _Iyear_1750 |  -.0020813   .0050556    -0.41   0.681     -.012084    .0079214
 _Iyear_1800 |  -.0041587   .0047924    -0.87   0.387    -.0136407    .0053233
 _Iyear_1850 |   -.007293   .0047426    -1.54   0.127    -.0166763    .0020904
 _Iyear_1900 |  -.0005232   .0054186    -0.10   0.923    -.0112441    .0101977
       _cons |   .0140203    .003741     3.75   0.000     .0066186    .0214221
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. test (ln_wpot_1750=0) (ln_wpot_1800=0) (ln_wpot_1850=0) (ln_wpot_1900=0)

 ( 1)  ln_wpot_1750 = 0
 ( 2)  ln_wpot_1800 = 0
 ( 3)  ln_wpot_1850 = 0
 ( 4)  ln_wpot_1900 = 0

       F(  4,   129) =    8.02
            Prob > F =    0.0000

. * Col 5
. xi: areg city_pop_share `ln_potato_flexible' `ln_oworld_flexible' i.year, a(isocode) clu
> ster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 33,   129) =    2.98
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4209
                                                       Adj R-squared =  0.3534
                                                       Root MSE      =  .03915

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_1100 |  -.0013055   .0009226    -1.42   0.159    -.0031308    .0005199
ln_wpot_1200 |  -.0012731   .0008887    -1.43   0.154    -.0030314    .0004852
ln_wpot_1300 |  -.0005186   .0010715    -0.48   0.629    -.0026386    .0016014
ln_wpot_1400 |   .0001565   .0015329     0.10   0.919    -.0028764    .0031894
ln_wpot_1500 |  -.0001611   .0012242    -0.13   0.895    -.0025832     .002261
ln_wpot_1600 |  -.0009986    .002504    -0.40   0.691    -.0059528    .0039555
ln_wpot_1700 |   .0017075   .0013056     1.31   0.193    -.0008757    .0042908
ln_wpot_1750 |    .001055   .0012628     0.84   0.405    -.0014436    .0035536
ln_wpot_1800 |   .0016294   .0012571     1.30   0.197    -.0008579    .0041167
ln_wpot_1850 |   .0021824   .0013913     1.57   0.119    -.0005703    .0049351
ln_wpot_1900 |   .0123354   .0023503     5.25   0.000     .0076853    .0169855
ln_owor~1100 |  -.0011735   .0027294    -0.43   0.668    -.0065736    .0042266
ln_owor~1200 |   .0005011   .0012502     0.40   0.689    -.0019724    .0029746
ln_owor~1300 |   .0007819   .0011266     0.69   0.489    -.0014472    .0030109
ln_owor~1400 |   .0014896   .0012884     1.16   0.250    -.0010595    .0040387
ln_owor~1500 |   .0012119   .0012546     0.97   0.336    -.0012704    .0036942
ln_owor~1600 |   .0030584   .0029323     1.04   0.299    -.0027432    .0088601
ln_owor~1700 |   .0006752   .0012255     0.55   0.583    -.0017494    .0030998
ln_owor~1750 |   .0010254   .0012428     0.83   0.411    -.0014335    .0034844
ln_owor~1800 |   .0009271   .0012414     0.75   0.457    -.0015291    .0033833
ln_owor~1850 |    .000464   .0012445     0.37   0.710    -.0019983    .0029262
ln_owor~1900 |  -.0012803   .0017269    -0.74   0.460     -.004697    .0021364
 _Iyear_1100 |   .0139146    .024639     0.56   0.573    -.0348343    .0626634
 _Iyear_1200 |   .0020586   .0110209     0.19   0.852    -.0197465    .0238636
 _Iyear_1300 |  -.0094289   .0078399    -1.20   0.231    -.0249403    .0060824
 _Iyear_1400 |  -.0089637   .0079253    -1.13   0.260    -.0246441    .0067167
 _Iyear_1500 |  -.0068041    .006404    -1.06   0.290    -.0194745    .0058664
 _Iyear_1600 |  -.0153764    .009341    -1.65   0.102    -.0338577     .003105
 _Iyear_1700 |  -.0072498   .0077638    -0.93   0.352    -.0226107     .008111
 _Iyear_1750 |  -.0077902   .0075615    -1.03   0.305    -.0227508    .0071705
 _Iyear_1800 |  -.0093201   .0078219    -1.19   0.236    -.0247959    .0061558
 _Iyear_1850 |  -.0098758   .0075841    -1.30   0.195    -.0248812    .0051296
 _Iyear_1900 |    .006605   .0127342     0.52   0.605    -.0185899       .0318
       _cons |   .0140212   .0037531     3.74   0.000     .0065956    .0214467
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. test (ln_wpot_1750=0) (ln_wpot_1800=0) (ln_wpot_1850=0) (ln_wpot_1900=0)

 ( 1)  ln_wpot_1750 = 0
 ( 2)  ln_wpot_1800 = 0
 ( 3)  ln_wpot_1850 = 0
 ( 4)  ln_wpot_1900 = 0

       F(  4,   129) =    8.82
            Prob > F =    0.0000

. * Col 6
. xi: areg city_pop_share `ln_potato_flexible' `ln_oworld_flexible' `ln_elevation_flexible
> ' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 66,   129) =    2.96
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4555
                                                       Adj R-squared =  0.3772
                                                       Root MSE      =  .03842

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_1100 |  -.0006226   .0012527    -0.50   0.620    -.0031011    .0018558
ln_wpot_1200 |  -.0011701   .0012176    -0.96   0.338    -.0035791    .0012388
ln_wpot_1300 |   .0013089   .0014269     0.92   0.361    -.0015142    .0041321
ln_wpot_1400 |   .0009813   .0014437     0.68   0.498    -.0018752    .0038378
ln_wpot_1500 |   .0007654   .0012812     0.60   0.551    -.0017695    .0033004
ln_wpot_1600 |  -.0000298   .0028654    -0.01   0.992    -.0056991    .0056395
ln_wpot_1700 |   .0022237   .0015489     1.44   0.154    -.0008408    .0052882
ln_wpot_1750 |    .001334   .0017667     0.76   0.452    -.0021614    .0048295
ln_wpot_1800 |   .0017523   .0016902     1.04   0.302    -.0015918    .0050963
ln_wpot_1850 |   .0031259   .0017338     1.80   0.074    -.0003045    .0065563
ln_wpot_1900 |   .0100279   .0031933     3.14   0.002     .0037099     .016346
ln_owor~1100 |  -.0021827   .0031219    -0.70   0.486    -.0083595    .0039941
ln_owor~1200 |    .000323   .0018514     0.17   0.862    -.0033402    .0039861
ln_owor~1300 |   -.001791   .0018921    -0.95   0.346    -.0055345    .0019526
ln_owor~1400 |   .0003757   .0014617     0.26   0.798    -.0025163    .0032676
ln_owor~1500 |  -.0001078   .0016996    -0.06   0.950    -.0034705    .0032549
ln_owor~1600 |   .0017751   .0036145     0.49   0.624    -.0053762    .0089264
ln_owor~1700 |   .0000839   .0019754     0.04   0.966    -.0038245    .0039924
ln_owor~1750 |   .0007769   .0023582     0.33   0.742    -.0038889    .0054427
ln_owor~1800 |   .0009046   .0021887     0.41   0.680    -.0034257    .0052349
ln_owor~1850 |  -.0006747    .002202    -0.31   0.760    -.0050315    .0036821
ln_owor~1900 |   .0023248   .0033807     0.69   0.493    -.0043641    .0090137
ln_elev~1100 |   .0065217   .0048448     1.35   0.181    -.0030639    .0161073
ln_elev~1200 |   .0030803   .0030404     1.01   0.313    -.0029352    .0090958
ln_elev~1300 |   .0040222   .0036962     1.09   0.279    -.0032909    .0113353
ln_elev~1400 |   .0023016   .0047667     0.48   0.630    -.0071295    .0117327
ln_elev~1500 |   .0051834   .0049036     1.06   0.292    -.0045186    .0148853
ln_elev~1600 |  -.0016312   .0083803    -0.19   0.846    -.0182118    .0149495
ln_elev~1700 |  -.0038419   .0063272    -0.61   0.545    -.0163604    .0086765
ln_elev~1750 |   -.005671   .0070204    -0.81   0.421     -.019561    .0082189
ln_elev~1800 |  -.0063913   .0063739    -1.00   0.318    -.0190022    .0062196
ln_elev~1850 |  -.0069194   .0061103    -1.13   0.260    -.0190088    .0051699
ln_elev~1900 |  -.0228835   .0087092    -2.63   0.010    -.0401149    -.005652
ln_trop~1100 |   -.000062   .0011192    -0.06   0.956    -.0022763    .0021523
ln_trop~1200 |  -.0001815   .0010381    -0.17   0.861    -.0022354    .0018725
ln_trop~1300 |   .0015162   .0011259     1.35   0.180    -.0007114    .0037438
ln_trop~1400 |   .0000482   .0008308     0.06   0.954    -.0015956     .001692
ln_trop~1500 |   .0005845   .0008017     0.73   0.467    -.0010017    .0021707
ln_trop~1600 |   .0009696   .0009084     1.07   0.288    -.0008277    .0027668
ln_trop~1700 |  -.0002693    .001141    -0.24   0.814    -.0025268    .0019882
ln_trop~1750 |  -.0002517   .0013618    -0.18   0.854     -.002946    .0024425
ln_trop~1800 |  -.0004167   .0012724    -0.33   0.744    -.0029341    .0021007
ln_trop~1850 |   .0004066   .0012875     0.32   0.753    -.0021408    .0029539
ln_trop~1900 |  -.0035227   .0020742    -1.70   0.092    -.0076265    .0005811
ln_rugg~1100 |  -.0102293   .0089297    -1.15   0.254     -.027897    .0074385
ln_rugg~1200 |  -.0037938   .0047609    -0.80   0.427    -.0132134    .0056258
ln_rugg~1300 |  -.0067362   .0047957    -1.40   0.163    -.0162246    .0027522
ln_rugg~1400 |   -.009827   .0073853    -1.33   0.186     -.024439     .004785
ln_rugg~1500 |  -.0056861   .0055863    -1.02   0.311    -.0167386    .0053665
ln_rugg~1600 |  -.0007908   .0097597    -0.08   0.936    -.0201005    .0185189
ln_rugg~1700 |  -.0084401   .0064099    -1.32   0.190    -.0211222     .004242
ln_rugg~1750 |  -.0050017    .006236    -0.80   0.424    -.0173399    .0073364
ln_rugg~1800 |  -.0047614   .0058269    -0.82   0.415    -.0162901    .0067673
ln_rugg~1850 |  -.0057515   .0058169    -0.99   0.325    -.0172604    .0057574
ln_rugg~1900 |  -.0060427   .0102856    -0.59   0.558     -.026393    .0143077
 _Iyear_1100 |  -.0223447   .0283115    -0.79   0.431    -.0783597    .0336702
 _Iyear_1200 |   -.015567    .016642    -0.94   0.351    -.0484935    .0173595
 _Iyear_1300 |  -.0294031   .0246362    -1.19   0.235    -.0781463    .0193402
 _Iyear_1400 |  -.0199814   .0300337    -0.67   0.507    -.0794038     .039441
 _Iyear_1500 |  -.0353059   .0299621    -1.18   0.241    -.0945867    .0239748
 _Iyear_1600 |  -.0039805   .0437239    -0.09   0.928    -.0904892    .0825283
 _Iyear_1700 |   .0175216   .0388661     0.45   0.653     -.059376    .0944192
 _Iyear_1750 |   .0270015   .0423095     0.64   0.524    -.0567088    .1107119
 _Iyear_1800 |   .0294586   .0389591     0.76   0.451    -.0476229      .10654
 _Iyear_1850 |   .0335283    .037388     0.90   0.372    -.0404448    .1075013
 _Iyear_1900 |   .1394575   .0533081     2.62   0.010      .033986    .2449289
       _cons |   .0139839   .0037576     3.72   0.000     .0065493    .0214185
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. test (ln_wpot_1750=0) (ln_wpot_1800=0) (ln_wpot_1850=0) (ln_wpot_1900=0)

 ( 1)  ln_wpot_1750 = 0
 ( 2)  ln_wpot_1800 = 0
 ( 3)  ln_wpot_1850 = 0
 ( 4)  ln_wpot_1900 = 0

       F(  4,   129) =    4.89
            Prob > F =    0.0011

. 
. **************************************
. *** TABLE 3 - ALTERNATIVE CUT-OFFS ***
. **************************************
. 
. /* 1200--1500: Post = 1400, 1500 (Cols 1 & 2) */
. preserve

. drop ln_wpot_post post

. drop if year<1200
(256 observations deleted)

. drop if year>1500
(780 observations deleted)

. tab year

       Time |
    period: |
1000, 1100, |
1200, 1300, |
1400, 1500, |
1600, 1700, |
1750, 1800, |
    1850, 1 |      Freq.     Percent        Cum.
------------+-----------------------------------
       1200 |        128       24.81       24.81
       1300 |        128       24.81       49.61
       1400 |        130       25.19       74.81
       1500 |        130       25.19      100.00
------------+-----------------------------------
      Total |        516      100.00

. gen post=0

. replace post=1 if year==1400 | year==1500
(260 real changes made)

. gen ln_wpot_post=ln_wpot*post

. * Total Population
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1200-1500    (naturally coded; _Iyear_1200 omitted)

Linear regression, absorbing indicators                Number of obs =     516
                                                       F( 16,   129) =   13.31
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9979
                                                       Adj R-squared =  0.9970
                                                       Root MSE      =  .12201

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |  -.0024718   .0059096    -0.42   0.676    -.0141641    .0092206
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |    .015608   .0049787     3.13   0.002     .0057576    .0254584
ln_owor~1400 |   .0016469     .00742     0.22   0.825    -.0130337    .0163275
ln_owor~1500 |   .0263348   .0089252     2.95   0.004     .0086761    .0439935
ln_owor~1600 |  (omitted)
ln_owor~1700 |  (omitted)
ln_owor~1750 |  (omitted)
ln_owor~1800 |  (omitted)
ln_owor~1850 |  (omitted)
ln_owor~1900 |  (omitted)
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  -.0289698   .0172364    -1.68   0.095    -.0630724    .0051328
ln_elev~1400 |   .0094842   .0213296     0.44   0.657    -.0327169    .0516852
ln_elev~1500 |   -.029427   .0289962    -1.01   0.312    -.0867966    .0279426
ln_elev~1600 |  (omitted)
ln_elev~1700 |  (omitted)
ln_elev~1750 |  (omitted)
ln_elev~1800 |  (omitted)
ln_elev~1850 |  (omitted)
ln_elev~1900 |  (omitted)
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |  -.0015379   .0033031    -0.47   0.642    -.0080732    .0049974
ln_trop~1400 |    .018133   .0045974     3.94   0.000     .0090371     .027229
ln_trop~1500 |   .0123506    .005881     2.10   0.038     .0007149    .0239863
ln_trop~1600 |  (omitted)
ln_trop~1700 |  (omitted)
ln_trop~1750 |  (omitted)
ln_trop~1800 |  (omitted)
ln_trop~1850 |  (omitted)
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  -.0333221   .0333355    -1.00   0.319    -.0992772     .032633
ln_rugg~1300 |  -.0124575   .0249679    -0.50   0.619    -.0618571    .0369422
ln_rugg~1400 |  -.0305309   .0235236    -1.30   0.197    -.0770728    .0160111
ln_rugg~1500 |  (omitted)
ln_rugg~1600 |  (omitted)
ln_rugg~1700 |  (omitted)
ln_rugg~1750 |  (omitted)
ln_rugg~1800 |  (omitted)
ln_rugg~1850 |  (omitted)
ln_rugg~1900 |  (omitted)
 _Iyear_1300 |   .1769242   .1007136     1.76   0.081    -.0223402    .3761885
 _Iyear_1400 |  -.0165385    .123722    -0.13   0.894    -.2613255    .2282484
 _Iyear_1500 |   .1992672   .1650453     1.21   0.230    -.1272789    .5258134
       _cons |   12.90005     .01452   888.44   0.000     12.87132    12.92877
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * City Population Share
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1200-1500    (naturally coded; _Iyear_1200 omitted)

Linear regression, absorbing indicators                Number of obs =     516
                                                       F( 16,   129) =    0.96
                                                       Prob > F      =  0.4994
                                                       R-squared     =  0.5647
                                                       Adj R-squared =  0.3942
                                                       Root MSE      =  .02858

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0007538   .0012478     0.60   0.547    -.0017151    .0032227
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |   .0002598   .0013383     0.19   0.846    -.0023881    .0029077
ln_owor~1400 |   .0014237   .0017834     0.80   0.426    -.0021048    .0049522
ln_owor~1500 |   .0007337   .0017866     0.41   0.682    -.0028011    .0042684
ln_owor~1600 |  (omitted)
ln_owor~1700 |  (omitted)
ln_owor~1750 |  (omitted)
ln_owor~1800 |  (omitted)
ln_owor~1850 |  (omitted)
ln_owor~1900 |  (omitted)
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |   .0001421   .0041598     0.03   0.973    -.0080882    .0083725
ln_elev~1400 |  -.0013251   .0050481    -0.26   0.793    -.0113129    .0086628
ln_elev~1500 |   .0016257   .0052272     0.31   0.756    -.0087164    .0119678
ln_elev~1600 |  (omitted)
ln_elev~1700 |  (omitted)
ln_elev~1750 |  (omitted)
ln_elev~1800 |  (omitted)
ln_elev~1850 |  (omitted)
ln_elev~1900 |  (omitted)
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |   .0006697   .0006592     1.02   0.312    -.0006346     .001974
ln_trop~1400 |  -.0003547   .0010287    -0.34   0.731      -.00239    .0016806
ln_trop~1500 |   .0002712   .0009171     0.30   0.768    -.0015433    .0020858
ln_trop~1600 |  (omitted)
ln_trop~1700 |  (omitted)
ln_trop~1750 |  (omitted)
ln_trop~1800 |  (omitted)
ln_trop~1850 |  (omitted)
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |   .0008201   .0064622     0.13   0.899    -.0119655    .0136056
ln_rugg~1300 |  -.0005449   .0043323    -0.13   0.900    -.0091165    .0080267
ln_rugg~1400 |  -.0040069   .0052479    -0.76   0.447    -.0143901    .0063763
ln_rugg~1500 |  (omitted)
ln_rugg~1600 |  (omitted)
ln_rugg~1700 |  (omitted)
ln_rugg~1750 |  (omitted)
ln_rugg~1800 |  (omitted)
ln_rugg~1850 |  (omitted)
ln_rugg~1900 |  (omitted)
 _Iyear_1300 |  -.0122463   .0238735    -0.51   0.609    -.0594805     .034988
 _Iyear_1400 |  -.0030224   .0295161    -0.10   0.919    -.0614208    .0553759
 _Iyear_1500 |  -.0184823   .0298215    -0.62   0.537    -.0774849    .0405203
       _cons |   .0149487   .0034439     4.34   0.000     .0081349    .0217625
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. restore

. 
. /* 1300--1600: Post = 1500, 1600 (Cols 3 & 4) */
. preserve

. drop ln_wpot_post post

. drop if year<1300
(384 observations deleted)

. drop if year>1600
(650 observations deleted)

. tab year

       Time |
    period: |
1000, 1100, |
1200, 1300, |
1400, 1500, |
1600, 1700, |
1750, 1800, |
    1850, 1 |      Freq.     Percent        Cum.
------------+-----------------------------------
       1300 |        128       24.71       24.71
       1400 |        130       25.10       49.81
       1500 |        130       25.10       74.90
       1600 |        130       25.10      100.00
------------+-----------------------------------
      Total |        518      100.00

. gen post=0

. replace post=1 if year==1500 | year==1600
(260 real changes made)

. gen ln_wpot_post=ln_wpot*post

. * Total Population
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1300-1600    (naturally coded; _Iyear_1300 omitted)

Linear regression, absorbing indicators                Number of obs =     518
                                                       F( 16,   129) =   31.80
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9979
                                                       Adj R-squared =  0.9971
                                                       Root MSE      =   .1199

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0012009   .0054141     0.22   0.825    -.0095111    .0119128
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |  -.0166403   .0088446    -1.88   0.062    -.0341396    .0008591
ln_owor~1400 |  -.0337182   .0092566    -3.64   0.000    -.0520325   -.0154038
ln_owor~1500 |  -.0101793    .005646    -1.80   0.074    -.0213499    .0009914
ln_owor~1600 |  (omitted)
ln_owor~1700 |  (omitted)
ln_owor~1750 |  (omitted)
ln_owor~1800 |  (omitted)
ln_owor~1850 |  (omitted)
ln_owor~1900 |  (omitted)
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  (omitted)
ln_elev~1400 |    .040759   .0174798     2.33   0.021     .0061747    .0753433
ln_elev~1500 |   .0022317    .019643     0.11   0.910    -.0366324    .0410958
ln_elev~1600 |  -.0312797   .0263593    -1.19   0.238    -.0834323    .0208728
ln_elev~1700 |  (omitted)
ln_elev~1750 |  (omitted)
ln_elev~1800 |  (omitted)
ln_elev~1850 |  (omitted)
ln_elev~1900 |  (omitted)
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |  -.0086835   .0047688    -1.82   0.071    -.0181187    .0007518
ln_trop~1400 |   .0125582   .0049376     2.54   0.012      .002789    .0223274
ln_trop~1500 |   .0072744   .0027197     2.67   0.008     .0018934    .0126553
ln_trop~1600 |  (omitted)
ln_trop~1700 |  (omitted)
ln_trop~1750 |  (omitted)
ln_trop~1800 |  (omitted)
ln_trop~1850 |  (omitted)
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  (omitted)
ln_rugg~1300 |  -.0198092     .03025    -0.65   0.514    -.0796596    .0400412
ln_rugg~1400 |  -.0407457   .0293631    -1.39   0.168    -.0988413    .0173499
ln_rugg~1500 |  -.0109607   .0169528    -0.65   0.519    -.0445022    .0225807
ln_rugg~1600 |  (omitted)
ln_rugg~1700 |  (omitted)
ln_rugg~1750 |  (omitted)
ln_rugg~1800 |  (omitted)
ln_rugg~1850 |  (omitted)
ln_rugg~1900 |  (omitted)
 _Iyear_1400 |  -.2037018   .1019255    -2.00   0.048    -.4053639   -.0020397
 _Iyear_1500 |   .0113509   .1100354     0.10   0.918    -.2063569    .2290586
 _Iyear_1600 |   .3599665   .1480801     2.43   0.016     .0669864    .6529467
       _cons |    13.1521   .0570888   230.38   0.000     13.03915    13.26506
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * City Population Share
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1300-1600    (naturally coded; _Iyear_1300 omitted)

Linear regression, absorbing indicators                Number of obs =     518
                                                       F( 16,   129) =    0.94
                                                       Prob > F      =  0.5300
                                                       R-squared     =  0.5642
                                                       Adj R-squared =  0.3943
                                                       Root MSE      =  .03124

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |  -.0008038   .0016708    -0.48   0.631    -.0041096     .002502
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |   -.003087   .0026304    -1.17   0.243    -.0082912    .0021173
ln_owor~1400 |  -.0012011    .002583    -0.47   0.643    -.0063117    .0039095
ln_owor~1500 |   -.001122   .0010633    -1.06   0.293    -.0032257    .0009816
ln_owor~1600 |  (omitted)
ln_owor~1700 |  (omitted)
ln_owor~1750 |  (omitted)
ln_owor~1800 |  (omitted)
ln_owor~1850 |  (omitted)
ln_owor~1900 |  (omitted)
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  (omitted)
ln_elev~1400 |  -.0017133      .0028    -0.61   0.542    -.0072531    .0038265
ln_elev~1500 |   .0009805   .0029911     0.33   0.744    -.0049375    .0068985
ln_elev~1600 |  -.0055799   .0074932    -0.74   0.458    -.0204053    .0092455
ln_elev~1700 |  (omitted)
ln_elev~1750 |  (omitted)
ln_elev~1800 |  (omitted)
ln_elev~1850 |  (omitted)
ln_elev~1900 |  (omitted)
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |   .0003279   .0011018     0.30   0.766     -.001852    .0025078
ln_trop~1400 |  -.0010074   .0011914    -0.85   0.399    -.0033647    .0013499
ln_trop~1500 |  -.0007153   .0013938    -0.51   0.609     -.003473    .0020425
ln_trop~1600 |  (omitted)
ln_trop~1700 |  (omitted)
ln_trop~1750 |  (omitted)
ln_trop~1800 |  (omitted)
ln_trop~1850 |  (omitted)
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  (omitted)
ln_rugg~1300 |  -.0059492   .0089641    -0.66   0.508    -.0236848    .0117864
ln_rugg~1400 |  -.0089075   .0100708    -0.88   0.378    -.0288328    .0110178
ln_rugg~1500 |  -.0044013   .0071875    -0.61   0.541     -.018622    .0098193
ln_rugg~1600 |  (omitted)
ln_rugg~1700 |  (omitted)
ln_rugg~1750 |  (omitted)
ln_rugg~1800 |  (omitted)
ln_rugg~1850 |  (omitted)
ln_rugg~1900 |  (omitted)
 _Iyear_1400 |   .0097196   .0163637     0.59   0.554    -.0226564    .0420955
 _Iyear_1500 |  -.0052362   .0158962    -0.33   0.742    -.0366871    .0262147
 _Iyear_1600 |   .0255905   .0373429     0.69   0.494    -.0482934    .0994744
       _cons |   .0274899   .0180664     1.52   0.131    -.0082549    .0632347
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. restore

. 
. /* 1400--1700: Post = 1600, 1700 (Cols 5 & 6) */
. preserve

. drop ln_wpot_post post

. drop if year<1400
(512 observations deleted)

. drop if year>1700
(520 observations deleted)

. tab year

       Time |
    period: |
1000, 1100, |
1200, 1300, |
1400, 1500, |
1600, 1700, |
1750, 1800, |
    1850, 1 |      Freq.     Percent        Cum.
------------+-----------------------------------
       1400 |        130       25.00       25.00
       1500 |        130       25.00       50.00
       1600 |        130       25.00       75.00
       1700 |        130       25.00      100.00
------------+-----------------------------------
      Total |        520      100.00

. gen post=0

. replace post=1 if year==1600 | year==1700
(260 real changes made)

. gen ln_wpot_post=ln_wpot*post

. * Total Population
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1400-1700    (naturally coded; _Iyear_1400 omitted)

Linear regression, absorbing indicators                Number of obs =     520
                                                       F( 16,   129) =   32.33
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9974
                                                       Adj R-squared =  0.9963
                                                       Root MSE      =  .13639

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0010682   .0064083     0.17   0.868    -.0116107    .0137472
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |  (omitted)
ln_owor~1400 |  -.0443233   .0108958    -4.07   0.000    -.0658809   -.0227657
ln_owor~1500 |  -.0196354   .0088977    -2.21   0.029    -.0372398    -.002031
ln_owor~1600 |  -.0104782   .0050424    -2.08   0.040    -.0204548   -.0005016
ln_owor~1700 |  (omitted)
ln_owor~1750 |  (omitted)
ln_owor~1800 |  (omitted)
ln_owor~1850 |  (omitted)
ln_owor~1900 |  (omitted)
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  (omitted)
ln_elev~1400 |   .0389112   .0179891     2.16   0.032     .0033193     .074503
ln_elev~1500 |  (omitted)
ln_elev~1600 |    -.03317   .0164221    -2.02   0.045    -.0656616   -.0006783
ln_elev~1700 |  -.0951657   .0237379    -4.01   0.000    -.1421316   -.0481998
ln_elev~1750 |  (omitted)
ln_elev~1800 |  (omitted)
ln_elev~1850 |  (omitted)
ln_elev~1900 |  (omitted)
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |  (omitted)
ln_trop~1400 |   .0126133   .0049768     2.53   0.012     .0027666    .0224599
ln_trop~1500 |   .0068308   .0034832     1.96   0.052    -.0000609    .0137225
ln_trop~1600 |  (omitted)
ln_trop~1700 |   .0033955   .0028744     1.18   0.240    -.0022916    .0090826
ln_trop~1750 |  (omitted)
ln_trop~1800 |  (omitted)
ln_trop~1850 |  (omitted)
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  (omitted)
ln_rugg~1300 |  (omitted)
ln_rugg~1400 |  -.0665452   .0392295    -1.70   0.092    -.1441616    .0110713
ln_rugg~1500 |  -.0360143   .0263058    -1.37   0.173     -.088061    .0160324
ln_rugg~1600 |  -.0257171   .0186891    -1.38   0.171     -.062694    .0112598
ln_rugg~1700 |  (omitted)
ln_rugg~1750 |  (omitted)
ln_rugg~1800 |  (omitted)
ln_rugg~1850 |  (omitted)
ln_rugg~1900 |  (omitted)
 _Iyear_1500 |   .2158058   .1051497     2.05   0.042     .0077645     .423847
 _Iyear_1600 |   .5637515   .1464436     3.85   0.000     .2740093    .8534937
 _Iyear_1700 |   .9775297   .2046296     4.78   0.000     .5726651    1.382394
       _cons |    13.0226   .1075976   121.03   0.000     12.80972    13.23548
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * City Population Share
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1400-1700    (naturally coded; _Iyear_1400 omitted)

Linear regression, absorbing indicators                Number of obs =     520
                                                       F( 16,   129) =    1.39
                                                       Prob > F      =  0.1564
                                                       R-squared     =  0.5938
                                                       Adj R-squared =  0.4363
                                                       Root MSE      =  .03151

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0002236   .0016393     0.14   0.892    -.0030197    .0034669
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |  (omitted)
ln_owor~1400 |   -.000683   .0019829    -0.34   0.731    -.0046063    .0032402
ln_owor~1500 |  -.0013731   .0017989    -0.76   0.447    -.0049323    .0021861
ln_owor~1600 |   -.000465   .0010347    -0.45   0.654    -.0025122    .0015822
ln_owor~1700 |  (omitted)
ln_owor~1750 |  (omitted)
ln_owor~1800 |  (omitted)
ln_owor~1850 |  (omitted)
ln_owor~1900 |  (omitted)
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  (omitted)
ln_elev~1400 |  -.0029507    .002686    -1.10   0.274    -.0082652    .0023637
ln_elev~1500 |  (omitted)
ln_elev~1600 |  -.0064889   .0065373    -0.99   0.323    -.0194231    .0064453
ln_elev~1700 |  -.0094199   .0049428    -1.91   0.059    -.0191993    .0003594
ln_elev~1750 |  (omitted)
ln_elev~1800 |  (omitted)
ln_elev~1850 |  (omitted)
ln_elev~1900 |  (omitted)
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |  (omitted)
ln_trop~1400 |   -.001434    .001257    -1.14   0.256    -.0039211     .001053
ln_trop~1500 |  -.0008081   .0009376    -0.86   0.390    -.0026632     .001047
ln_trop~1600 |  (omitted)
ln_trop~1700 |  -.0021746   .0014653    -1.48   0.140    -.0050736    .0007245
ln_trop~1750 |  (omitted)
ln_trop~1800 |  (omitted)
ln_trop~1850 |  (omitted)
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  (omitted)
ln_rugg~1300 |  (omitted)
ln_rugg~1400 |  -.0020198   .0061826    -0.33   0.744    -.0142523    .0102128
ln_rugg~1500 |   .0019871   .0048132     0.41   0.680    -.0075359    .0115102
ln_rugg~1600 |   .0062496   .0072061     0.87   0.387     -.008008    .0205071
ln_rugg~1700 |  (omitted)
ln_rugg~1750 |  (omitted)
ln_rugg~1800 |  (omitted)
ln_rugg~1850 |  (omitted)
ln_rugg~1900 |  (omitted)
 _Iyear_1500 |  -.0154599   .0148171    -1.04   0.299    -.0447758     .013856
 _Iyear_1600 |   .0152266   .0403841     0.38   0.707    -.0646743    .0951276
 _Iyear_1700 |   .0381419   .0352907     1.08   0.282    -.0316816    .1079654
       _cons |   .0438402   .0150409     2.91   0.004     .0140814     .073599
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. restore

. 
. /* 1500--1800: Post = 1700, 1800 (Cols 7 & 8) */
. preserve

. drop ln_wpot_post post

. drop if year<1500
(642 observations deleted)

. drop if year>1800
(260 observations deleted)

. tab year

       Time |
    period: |
1000, 1100, |
1200, 1300, |
1400, 1500, |
1600, 1700, |
1750, 1800, |
    1850, 1 |      Freq.     Percent        Cum.
------------+-----------------------------------
       1500 |        130       20.00       20.00
       1600 |        130       20.00       40.00
       1700 |        130       20.00       60.00
       1750 |        130       20.00       80.00
       1800 |        130       20.00      100.00
------------+-----------------------------------
      Total |        650      100.00

. gen post=0

. replace post=1 if year==1700 | year==1750 | year==1800
(390 real changes made)

. gen ln_wpot_post=ln_wpot*post

. * Total Population
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1500-1800    (naturally coded; _Iyear_1500 omitted)

Linear regression, absorbing indicators                Number of obs =     650
                                                       F( 21,   129) =   24.45
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9974
                                                       Adj R-squared =  0.9966
                                                       Root MSE      =  .13213

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0055554   .0074384     0.75   0.457    -.0091616    .0202724
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |  (omitted)
ln_owor~1400 |  (omitted)
ln_owor~1500 |   -.049948   .0118695    -4.21   0.000    -.0734321   -.0264638
ln_owor~1600 |  -.0397687   .0104219    -3.82   0.000    -.0603887   -.0191486
ln_owor~1700 |  -.0346061   .0062288    -5.56   0.000    -.0469298   -.0222823
ln_owor~1750 |  -.0208252   .0034717    -6.00   0.000    -.0276941   -.0139563
ln_owor~1800 |  (omitted)
ln_owor~1850 |  (omitted)
ln_owor~1900 |  (omitted)
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  (omitted)
ln_elev~1400 |  (omitted)
ln_elev~1500 |   .1434159   .0368738     3.89   0.000     .0704602    .2163716
ln_elev~1600 |   .1099045   .0300011     3.66   0.000     .0505465    .1692625
ln_elev~1700 |   .0496845   .0222046     2.24   0.027      .005752    .0936169
ln_elev~1750 |   .0318587   .0133137     2.39   0.018     .0055172    .0582001
ln_elev~1800 |  (omitted)
ln_elev~1850 |  (omitted)
ln_elev~1900 |  (omitted)
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |  (omitted)
ln_trop~1400 |  (omitted)
ln_trop~1500 |     .00908   .0055716     1.63   0.106    -.0019436    .0201037
ln_trop~1600 |   .0018057   .0045687     0.40   0.693    -.0072335    .0108449
ln_trop~1700 |   .0075079   .0018981     3.96   0.000     .0037524    .0112634
ln_trop~1750 |  (omitted)
ln_trop~1800 |  -.0119431   .0022327    -5.35   0.000    -.0163606   -.0075255
ln_trop~1850 |  (omitted)
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  (omitted)
ln_rugg~1300 |  (omitted)
ln_rugg~1400 |  (omitted)
ln_rugg~1500 |  -.0109607   .0163998    -0.67   0.505    -.0434081    .0214867
ln_rugg~1600 |  (omitted)
ln_rugg~1700 |   .0222663   .0202931     1.10   0.275    -.0178841    .0624168
ln_rugg~1750 |   .0440159   .0250772     1.76   0.082       -.0056    .0936318
ln_rugg~1800 |    .065954   .0335224     1.97   0.051    -.0003708    .1322788
ln_rugg~1850 |  (omitted)
ln_rugg~1900 |  (omitted)
 _Iyear_1600 |   .3486157   .0829703     4.20   0.000     .1844568    .5127745
 _Iyear_1700 |   .7589098   .1388812     5.46   0.000       .48413     1.03369
 _Iyear_1750 |    .916268   .1683884     5.44   0.000     .5831075    1.249428
 _Iyear_1800 |   1.143328   .2213568     5.17   0.000     .7053686    1.581288
       _cons |   12.58931   .2063418    61.01   0.000     12.18106    12.99756
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * City Population Share
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1500-1800    (naturally coded; _Iyear_1500 omitted)

Linear regression, absorbing indicators                Number of obs =     650
                                                       F( 21,   129) =    1.27
                                                       Prob > F      =  0.2093
                                                       R-squared     =  0.5936
                                                       Adj R-squared =  0.4714
                                                       Root MSE      =  .02946

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0014022   .0016935     0.83   0.409    -.0019485    .0047528
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |  (omitted)
ln_owor~1400 |  (omitted)
ln_owor~1500 |   -.000615   .0021145    -0.29   0.772    -.0047987    .0035686
ln_owor~1600 |    .000507   .0026192     0.19   0.847    -.0046751    .0056891
ln_owor~1700 |  -.0003697   .0006277    -0.59   0.557    -.0016116    .0008723
ln_owor~1750 |  -.0005279   .0003481    -1.52   0.132    -.0012166    .0001608
ln_owor~1800 |  (omitted)
ln_owor~1850 |  (omitted)
ln_owor~1900 |  (omitted)
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  (omitted)
ln_elev~1400 |  (omitted)
ln_elev~1500 |   .0114419   .0053242     2.15   0.033     .0009078     .021976
ln_elev~1600 |   .0048816   .0081377     0.60   0.550    -.0112191    .0209822
ln_elev~1700 |   .0023987   .0027574     0.87   0.386    -.0030568    .0078542
ln_elev~1750 |   .0008539    .001649     0.52   0.605    -.0024087    .0041165
ln_elev~1800 |  (omitted)
ln_elev~1850 |  (omitted)
ln_elev~1900 |  (omitted)
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |  (omitted)
ln_trop~1400 |  (omitted)
ln_trop~1500 |   .0004902   .0012154     0.40   0.687    -.0019145    .0028948
ln_trop~1600 |   .0012054   .0013256     0.91   0.365    -.0014173    .0038281
ln_trop~1700 |   -.000387   .0005006    -0.77   0.441    -.0013774    .0006034
ln_trop~1750 |  (omitted)
ln_trop~1800 |  -.0003386   .0002525    -1.34   0.182    -.0008381     .000161
ln_trop~1850 |  (omitted)
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  (omitted)
ln_rugg~1300 |  (omitted)
ln_rugg~1400 |  (omitted)
ln_rugg~1500 |  -.0044013   .0069531    -0.63   0.528    -.0181581    .0093555
ln_rugg~1600 |  (omitted)
ln_rugg~1700 |  -.0071205   .0077603    -0.92   0.361    -.0224745    .0082334
ln_rugg~1750 |  -.0042348   .0081671    -0.52   0.605    -.0203936    .0119241
ln_rugg~1800 |  -.0037346   .0087338    -0.43   0.670    -.0210148    .0135455
ln_rugg~1850 |  (omitted)
ln_rugg~1900 |  (omitted)
 _Iyear_1600 |   .0308267   .0309407     1.00   0.321    -.0303901    .0920436
 _Iyear_1700 |   .0528626   .0294724     1.79   0.075    -.0054491    .1111744
 _Iyear_1750 |   .0617847   .0347025     1.78   0.077    -.0068751    .1304445
 _Iyear_1800 |    .064504   .0312896     2.06   0.041     .0025968    .1264112
       _cons |  -.0518162   .0291817    -1.78   0.078     -.109553    .0059206
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. restore

. 
. /* 1600--1900: Post = 1800, 1850, 1900 (Cols 9 & 10) */
. preserve

. drop ln_wpot_post post

. drop if year<1600
(772 observations deleted)

. drop if year>1900
(0 observations deleted)

. tab year

       Time |
    period: |
1000, 1100, |
1200, 1300, |
1400, 1500, |
1600, 1700, |
1750, 1800, |
    1850, 1 |      Freq.     Percent        Cum.
------------+-----------------------------------
       1600 |        130       16.67       16.67
       1700 |        130       16.67       33.33
       1750 |        130       16.67       50.00
       1800 |        130       16.67       66.67
       1850 |        130       16.67       83.33
       1900 |        130       16.67      100.00
------------+-----------------------------------
      Total |        780      100.00

. gen post=0

. replace post=1 if year==1800 | year==1850 | year==1900
(390 real changes made)

. gen ln_wpot_post=ln_wpot*post

. * Total Population
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1600-1900    (naturally coded; _Iyear_1600 omitted)

Linear regression, absorbing indicators                Number of obs =     780
                                                       F( 26,   129) =   41.85
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9943
                                                       Adj R-squared =  0.9929
                                                       Root MSE      =  .19598

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0330393   .0114057     2.90   0.004     .0104728    .0556058
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |  (omitted)
ln_owor~1400 |  (omitted)
ln_owor~1500 |  (omitted)
ln_owor~1600 |  -.0374973   .0137568    -2.73   0.007    -.0647155   -.0102791
ln_owor~1700 |  -.0270191   .0127815    -2.11   0.036    -.0523075   -.0017307
ln_owor~1750 |  -.0132382   .0120428    -1.10   0.274    -.0370652    .0105887
ln_owor~1800 |   -.024026   .0048858    -4.92   0.000    -.0336927   -.0143592
ln_owor~1850 |  (omitted)
ln_owor~1900 |    .032508   .0086067     3.78   0.000     .0154795    .0495364
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  (omitted)
ln_elev~1400 |  (omitted)
ln_elev~1500 |  (omitted)
ln_elev~1600 |   .1226384   .0399374     3.07   0.003     .0436212    .2016556
ln_elev~1700 |   .0606426   .0339097     1.79   0.076    -.0064485    .1277338
ln_elev~1750 |   .0428168    .027689     1.55   0.124    -.0119665    .0976002
ln_elev~1800 |   .0215189   .0199504     1.08   0.283    -.0179535    .0609913
ln_elev~1850 |  (omitted)
ln_elev~1900 |  -.0589059   .0317786    -1.85   0.066    -.1217807    .0039689
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |  (omitted)
ln_trop~1400 |  (omitted)
ln_trop~1500 |  (omitted)
ln_trop~1600 |   .0225455   .0119061     1.89   0.061    -.0010111     .046102
ln_trop~1700 |    .025941     .01098     2.36   0.020     .0042168    .0476652
ln_trop~1750 |   .0184331   .0102146     1.80   0.073    -.0017767    .0386429
ln_trop~1800 |   .0202085   .0079614     2.54   0.012     .0044567    .0359603
ln_trop~1850 |   .0091939   .0059487     1.55   0.125    -.0025757    .0209636
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  (omitted)
ln_rugg~1300 |  (omitted)
ln_rugg~1400 |  (omitted)
ln_rugg~1500 |  (omitted)
ln_rugg~1600 |  (omitted)
ln_rugg~1700 |   .0257171   .0177263     1.45   0.149    -.0093548     .060789
ln_rugg~1750 |   .0474667   .0222464     2.13   0.035     .0034516    .0914817
ln_rugg~1800 |   .0488822   .0345607     1.41   0.160     -.019497    .1172614
ln_rugg~1850 |   .0480822   .0455635     1.06   0.293    -.0420663    .1382307
ln_rugg~1900 |   .1112614   .0741345     1.50   0.136    -.0354155    .2579382
 _Iyear_1700 |   .4137782   .0859076     4.82   0.000     .2438079    .5837485
 _Iyear_1750 |   .5711364   .1159179     4.93   0.000       .34179    .8004829
 _Iyear_1800 |    .777476   .1859088     4.18   0.000      .409651    1.145301
 _Iyear_1850 |   1.009592   .2337329     4.32   0.000     .5471453    1.472038
 _Iyear_1900 |    1.53268   .3718768     4.12   0.000     .7969126    2.268447
       _cons |   12.76571   .2086973    61.17   0.000      12.3528    13.17862
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * City Population Share
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1600-1900    (naturally coded; _Iyear_1600 omitted)

Linear regression, absorbing indicators                Number of obs =     780
                                                       F( 26,   129) =    3.40
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.6194
                                                       Adj R-squared =  0.5249
                                                       Root MSE      =  .03736

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0037927   .0015066     2.52   0.013     .0008118    .0067736
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |  (omitted)
ln_owor~1400 |  (omitted)
ln_owor~1500 |  (omitted)
ln_owor~1600 |   .0030593   .0022017     1.39   0.167    -.0012967    .0074154
ln_owor~1700 |   .0035243    .001613     2.18   0.031     .0003329    .0067157
ln_owor~1750 |   .0033661   .0015587     2.16   0.033     .0002821      .00645
ln_owor~1800 |   .0002649   .0007181     0.37   0.713    -.0011559    .0016858
ln_owor~1850 |  (omitted)
ln_owor~1900 |   .0096035   .0020268     4.74   0.000     .0055934    .0136136
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  (omitted)
ln_elev~1400 |  (omitted)
ln_elev~1500 |  (omitted)
ln_elev~1600 |   .0050847   .0074084     0.69   0.494    -.0095731    .0197425
ln_elev~1700 |   .0021536   .0037159     0.58   0.563    -.0051985    .0095057
ln_elev~1750 |   .0006089   .0030932     0.20   0.844     -.005511    .0067287
ln_elev~1800 |   .0009672    .002237     0.43   0.666    -.0034587    .0053932
ln_elev~1850 |  (omitted)
ln_elev~1900 |  -.0181702   .0070328    -2.58   0.011    -.0320847   -.0042557
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |  (omitted)
ln_trop~1400 |  (omitted)
ln_trop~1500 |  (omitted)
ln_trop~1600 |   .0070936   .0019694     3.60   0.000      .003197    .0109902
ln_trop~1700 |    .004919   .0016345     3.01   0.003     .0016852    .0081529
ln_trop~1750 |    .005306   .0016257     3.26   0.001     .0020895    .0085225
ln_trop~1800 |   .0065422   .0014955     4.37   0.000     .0035833    .0095011
ln_trop~1850 |   .0067951   .0013377     5.08   0.000     .0041484    .0094418
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  (omitted)
ln_rugg~1300 |  (omitted)
ln_rugg~1400 |  (omitted)
ln_rugg~1500 |  (omitted)
ln_rugg~1600 |  (omitted)
ln_rugg~1700 |  -.0062496   .0068349    -0.91   0.362    -.0197725    .0072734
ln_rugg~1750 |  -.0033638   .0071895    -0.47   0.641    -.0175884    .0108607
ln_rugg~1800 |  -.0052196   .0082861    -0.63   0.530    -.0216139    .0111747
ln_rugg~1850 |  -.0053564    .008074    -0.66   0.508     -.021331    .0106181
ln_rugg~1900 |  -.0013603   .0125659    -0.11   0.914    -.0262223    .0235016
 _Iyear_1700 |   .0229153   .0371735     0.62   0.539    -.0506334     .096464
 _Iyear_1750 |   .0318374   .0416449     0.76   0.446     -.050558    .1142327
 _Iyear_1800 |    .032178   .0414012     0.78   0.438    -.0497352    .1140912
 _Iyear_1850 |   .0371092   .0389896     0.95   0.343    -.0400326    .1142511
 _Iyear_1900 |   .1473671   .0600664     2.45   0.015     .0285243    .2662099
       _cons |  -.0629419   .0354685    -1.77   0.078    -.1331172    .0072334
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. restore

. 
. /* 1600--1900: post = 1750, 1850, 1900  (Cols 11 & 12) */
. preserve

. drop ln_wpot_post post

. drop if year<1600
(772 observations deleted)

. drop if year>1900
(0 observations deleted)

. tab year

       Time |
    period: |
1000, 1100, |
1200, 1300, |
1400, 1500, |
1600, 1700, |
1750, 1800, |
    1850, 1 |      Freq.     Percent        Cum.
------------+-----------------------------------
       1600 |        130       16.67       16.67
       1700 |        130       16.67       33.33
       1750 |        130       16.67       50.00
       1800 |        130       16.67       66.67
       1850 |        130       16.67       83.33
       1900 |        130       16.67      100.00
------------+-----------------------------------
      Total |        780      100.00

. gen post=0

. replace post=1 if year==1750 | year==1800 | year==1850 | year==1900
(520 real changes made)

. gen ln_wpot_post=ln_wpot*post

. * Total Population
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1600-1900    (naturally coded; _Iyear_1600 omitted)

Linear regression, absorbing indicators                Number of obs =     780
                                                       F( 26,   129) =   34.99
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9942
                                                       Adj R-squared =  0.9927
                                                       Root MSE      =  .19776

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |    .027869   .0092532     3.01   0.003     .0095613    .0461767
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |  (omitted)
ln_owor~1400 |  (omitted)
ln_owor~1500 |  (omitted)
ln_owor~1600 |  -.0424444   .0121611    -3.49   0.001    -.0665054   -.0183834
ln_owor~1700 |  -.0319662   .0110637    -2.89   0.005    -.0538559   -.0100764
ln_owor~1750 |  -.0448511   .0064563    -6.95   0.000    -.0576251   -.0320772
ln_owor~1800 |   -.024026   .0048858    -4.92   0.000    -.0336927   -.0143592
ln_owor~1850 |  (omitted)
ln_owor~1900 |    .032508   .0086067     3.78   0.000     .0154795    .0495364
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  (omitted)
ln_elev~1400 |  (omitted)
ln_elev~1500 |  (omitted)
ln_elev~1600 |    .124291   .0396494     3.13   0.002     .0458438    .2027383
ln_elev~1700 |   .0622953   .0336968     1.85   0.067    -.0043746    .1289652
ln_elev~1750 |   .0533775   .0279691     1.91   0.059      -.00196    .1087151
ln_elev~1800 |   .0215189   .0199504     1.08   0.283    -.0179535    .0609913
ln_elev~1850 |  (omitted)
ln_elev~1900 |  -.0589059   .0317786    -1.85   0.066    -.1217807    .0039689
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |  (omitted)
ln_trop~1400 |  (omitted)
ln_trop~1500 |  (omitted)
ln_trop~1600 |   .0246923   .0112951     2.19   0.031     .0023447    .0470398
ln_trop~1700 |   .0280878   .0102912     2.73   0.007     .0077263    .0484493
ln_trop~1750 |   .0321516   .0090212     3.56   0.001     .0143029    .0500002
ln_trop~1800 |   .0202085   .0079614     2.54   0.012     .0044567    .0359603
ln_trop~1850 |   .0091939   .0059487     1.55   0.125    -.0025757    .0209636
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  (omitted)
ln_rugg~1300 |  (omitted)
ln_rugg~1400 |  (omitted)
ln_rugg~1500 |  (omitted)
ln_rugg~1600 |  (omitted)
ln_rugg~1700 |   .0257171   .0177263     1.45   0.149    -.0093548     .060789
ln_rugg~1750 |   .0301557   .0269106     1.12   0.265    -.0230876    .0833989
ln_rugg~1800 |   .0520938   .0340878     1.53   0.129    -.0153497    .1195372
ln_rugg~1850 |   .0512937   .0449933     1.14   0.256    -.0377266    .1403141
ln_rugg~1900 |   .1144729   .0734119     1.56   0.121    -.0307743    .2597202
 _Iyear_1700 |   .4137782   .0859076     4.82   0.000     .2438079    .5837485
 _Iyear_1750 |   .5536582   .1322106     4.19   0.000     .2920763    .8152402
 _Iyear_1800 |   .7807186   .1830011     4.27   0.000     .4186465    1.142791
 _Iyear_1850 |   1.012834    .232771     4.35   0.000      .552291    1.473377
 _Iyear_1900 |   1.535923   .3716611     4.13   0.000      .800582    2.271263
       _cons |   12.78261   .2091512    61.12   0.000      12.3688    13.19642
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * City Population Share
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1600-1900    (naturally coded; _Iyear_1600 omitted)

Linear regression, absorbing indicators                Number of obs =     780
                                                       F( 26,   129) =    3.21
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.6163
                                                       Adj R-squared =  0.5210
                                                       Root MSE      =  .03751

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0029631   .0016853     1.76   0.081    -.0003713    .0062975
ln_owor~1100 |  (omitted)
ln_owor~1200 |  (omitted)
ln_owor~1300 |  (omitted)
ln_owor~1400 |  (omitted)
ln_owor~1500 |  (omitted)
ln_owor~1600 |   .0022655   .0024703     0.92   0.361     -.002622     .007153
ln_owor~1700 |   .0027305    .001795     1.52   0.131     -.000821     .006282
ln_owor~1750 |  -.0002629   .0007697    -0.34   0.733    -.0017858    .0012599
ln_owor~1800 |   .0002649   .0007181     0.37   0.713    -.0011559    .0016858
ln_owor~1850 |  (omitted)
ln_owor~1900 |   .0096035   .0020268     4.74   0.000     .0055934    .0136136
ln_elev~1100 |  (omitted)
ln_elev~1200 |  (omitted)
ln_elev~1300 |  (omitted)
ln_elev~1400 |  (omitted)
ln_elev~1500 |  (omitted)
ln_elev~1600 |   .0053498   .0075476     0.71   0.480    -.0095833     .020283
ln_elev~1700 |   .0024188   .0036749     0.66   0.512    -.0048521    .0096898
ln_elev~1750 |   .0018212   .0030199     0.60   0.548    -.0041539    .0077962
ln_elev~1800 |   .0009672    .002237     0.43   0.666    -.0034587    .0053932
ln_elev~1850 |  (omitted)
ln_elev~1900 |  -.0181702   .0070328    -2.58   0.011    -.0320847   -.0042557
ln_trop~1100 |  (omitted)
ln_trop~1200 |  (omitted)
ln_trop~1300 |  (omitted)
ln_trop~1400 |  (omitted)
ln_trop~1500 |  (omitted)
ln_trop~1600 |   .0074381   .0018896     3.94   0.000     .0036994    .0111768
ln_trop~1700 |   .0052635   .0016245     3.24   0.002     .0020493    .0084777
ln_trop~1750 |   .0068808   .0015402     4.47   0.000     .0038336     .009928
ln_trop~1800 |   .0065422   .0014955     4.37   0.000     .0035833    .0095011
ln_trop~1850 |   .0067951   .0013377     5.08   0.000     .0041484    .0094418
ln_trop~1900 |  (omitted)
ln_rugg~1100 |  (omitted)
ln_rugg~1200 |  (omitted)
ln_rugg~1300 |  (omitted)
ln_rugg~1400 |  (omitted)
ln_rugg~1500 |  (omitted)
ln_rugg~1600 |  (omitted)
ln_rugg~1700 |  -.0062496   .0068349    -0.91   0.362    -.0197725    .0072734
ln_rugg~1750 |  -.0052044   .0079786    -0.65   0.515    -.0209902    .0105815
ln_rugg~1800 |  -.0047042   .0085294    -0.55   0.582    -.0215799    .0121714
ln_rugg~1850 |  -.0048411   .0083093    -0.58   0.561    -.0212812     .011599
ln_rugg~1900 |   -.000845   .0127413    -0.07   0.947    -.0260541     .024364
 _Iyear_1700 |   .0229153   .0371735     0.62   0.539    -.0506334     .096464
 _Iyear_1750 |    .029979   .0421731     0.71   0.478    -.0534615    .1134195
 _Iyear_1800 |   .0326983   .0415884     0.79   0.433    -.0495853     .114982
 _Iyear_1850 |   .0376295   .0392138     0.96   0.339     -.039956    .1152151
 _Iyear_1900 |   .1478874   .0607451     2.43   0.016     .0277017     .268073
       _cons |  -.0602296   .0340412    -1.77   0.079    -.1275809    .0071217
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. restore

. 
. ***************************************
. *** TABLE 4 - BASELINE DD ESTIMATES ***
. ***************************************
. 
. *** Total Population ***
. * Col 1
. xi: areg ln_population ln_wpot_post i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 12,   129) =   88.58
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9877
                                                       Adj R-squared =  0.9864
                                                       Root MSE      =  .26925

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0586433   .0087972     6.67   0.000     .0412379    .0760487
 _Iyear_1100 |   .1288042   .0103727    12.42   0.000     .1082816    .1493268
 _Iyear_1200 |     .26496    .021216    12.49   0.000     .2229835    .3069364
 _Iyear_1300 |    .368429   .0302968    12.16   0.000      .308486    .4283721
 _Iyear_1400 |    .365986   .0320914    11.40   0.000     .3024924    .4294796
 _Iyear_1500 |   .4954185   .0382681    12.95   0.000     .4197042    .5711328
 _Iyear_1600 |   .6851705   .0391933    17.48   0.000     .6076256    .7627155
 _Iyear_1700 |   .8096086   .0478252    16.93   0.000     .7149853    .9042319
 _Iyear_1750 |   .7031682   .0586838    11.98   0.000     .5870608    .8192756
 _Iyear_1800 |   .8367088   .0617138    13.56   0.000     .7146066     .958811
 _Iyear_1850 |   1.067889   .0660358    16.17   0.000     .9372352    1.198542
 _Iyear_1900 |   1.420815   .0763482    18.61   0.000     1.269759    1.571872
       _cons |   12.64353   .0349129   362.14   0.000     12.57445     12.7126
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 2
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' i.year, a(isocode) cluster(isoc
> ode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 23,   129) =   57.98
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9887
                                                       Adj R-squared =  0.9875
                                                       Root MSE      =  .25848

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0443761   .0105847     4.19   0.000     .0234341    .0653181
ln_owor~1100 |   .0122544    .003537     3.46   0.001     .0052563    .0192525
ln_owor~1200 |   .0283597   .0056598     5.01   0.000     .0171616    .0395578
ln_owor~1300 |   .0416158   .0070646     5.89   0.000     .0276383    .0555932
ln_owor~1400 |    .038697   .0076536     5.06   0.000     .0235542    .0538399
ln_owor~1500 |   .0577481   .0092375     6.25   0.000     .0394714    .0760248
ln_owor~1600 |   .0624304     .00897     6.96   0.000     .0446831    .0801777
ln_owor~1700 |   .0732783   .0114715     6.39   0.000     .0505818    .0959749
ln_owor~1750 |   .0519091   .0144289     3.60   0.000     .0233611     .080457
ln_owor~1800 |   .0636508   .0156901     4.06   0.000     .0326075    .0946942
ln_owor~1850 |   .0804946   .0157693     5.10   0.000     .0492947    .1116945
ln_owor~1900 |   .1032652   .0184796     5.59   0.000     .0667029    .1398274
 _Iyear_1100 |   .0421199   .0257283     1.64   0.104    -.0087841    .0930239
 _Iyear_1200 |   .0643514   .0394044     1.63   0.105    -.0136111    .1423139
 _Iyear_1300 |   .0740506   .0498086     1.49   0.140     -.024497    .1725982
 _Iyear_1400 |   .0923831   .0548472     1.68   0.095    -.0161334    .2008996
 _Iyear_1500 |   .0867651   .0662221     1.31   0.192    -.0442569    .2177872
 _Iyear_1600 |   .2433248   .0627775     3.88   0.000     .1191179    .3675317
 _Iyear_1700 |   .2908632   .0829972     3.50   0.001     .1266512    .4550751
 _Iyear_1750 |   .3898171   .0907684     4.29   0.000     .2102295    .5694046
 _Iyear_1800 |   .4401217   .1004032     4.38   0.000     .2414715    .6387719
 _Iyear_1850 |    .551898   .0983521     5.61   0.000      .357306    .7464899
 _Iyear_1900 |   .7434071   .1177531     6.31   0.000     .5104297    .9763844
       _cons |   12.64305   .0328102   385.34   0.000     12.57813    12.70796
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 3
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   59.01
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24742

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0324743   .0116344     2.79   0.006     .0094554    .0554933
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0333736   .0097894     3.41   0.001     .0140049    .0527422
ln_owor~1500 |   .0580615   .0112321     5.17   0.000     .0358385    .0802845
ln_owor~1600 |   .0682408   .0102973     6.63   0.000     .0478673    .0886143
ln_owor~1700 |    .078719   .0127522     6.17   0.000     .0534885    .1039494
ln_owor~1750 |   .0614275   .0178208     3.45   0.001     .0261686    .0966864
ln_owor~1800 |   .0822527   .0186331     4.41   0.000     .0453867    .1191187
ln_owor~1850 |   .1062787   .0195893     5.43   0.000     .0675207    .1450366
ln_owor~1900 |   .1387866   .0221295     6.27   0.000      .095003    .1825703
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0312558   .0335634    -0.93   0.353    -.0976618    .0351502
ln_elev~1500 |  -.0701669   .0418284    -1.68   0.096    -.1529254    .0125915
ln_elev~1600 |  -.1036784   .0451877    -2.29   0.023    -.1930834   -.0142733
ln_elev~1700 |  -.1656741   .0552153    -3.00   0.003     -.274919   -.0564293
ln_elev~1750 |  -.1731198   .0607593    -2.85   0.005    -.2933336    -.052906
ln_elev~1800 |  -.2049785   .0661316    -3.10   0.002    -.3358215   -.0741355
ln_elev~1850 |  -.2264973   .0728878    -3.11   0.002    -.3707077    -.082287
ln_elev~1900 |  -.2854032   .0885897    -3.22   0.002    -.4606802   -.1101263
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0100387   .0071158     1.41   0.161    -.0040401    .0241175
ln_trop~1500 |   .0042562   .0085899     0.50   0.621     -.012739    .0212515
ln_trop~1600 |  -.0030181   .0087737    -0.34   0.731    -.0203771    .0143408
ln_trop~1700 |   .0003774   .0105295     0.04   0.971    -.0204555    .0212103
ln_trop~1750 |   .0063534   .0108277     0.59   0.558    -.0150695    .0277763
ln_trop~1800 |  -.0055897   .0119536    -0.47   0.641    -.0292402    .0180608
ln_trop~1850 |  -.0166042   .0132101    -1.26   0.211    -.0427407    .0095322
ln_trop~1900 |  -.0257982   .0154663    -1.67   0.098    -.0563986    .0048023
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0146235   .0394415     0.37   0.711    -.0634124    .0926595
ln_rugg~1500 |   .0451544   .0465175     0.97   0.334    -.0468816    .1371904
ln_rugg~1600 |   .0561151    .049275     1.14   0.257    -.0413766    .1536069
ln_rugg~1700 |   .0818323   .0607613     1.35   0.180    -.0383855      .20205
ln_rugg~1750 |   .0834102   .0714929     1.17   0.245    -.0580403    .2248606
ln_rugg~1800 |   .1053483   .0770489     1.37   0.174    -.0470949    .2577914
ln_rugg~1850 |   .1045483   .0817592     1.28   0.203    -.0572143    .2663108
ln_rugg~1900 |   .1677274   .0973971     1.72   0.087    -.0249751      .36043
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |    .282788   .1957321     1.44   0.151    -.1044728    .6700488
 _Iyear_1500 |   .4985937   .2480018     2.01   0.046      .007916    .9892714
 _Iyear_1600 |   .8472094   .2696652     3.14   0.002     .3136701    1.380749
 _Iyear_1700 |   1.260988   .3260549     3.87   0.000     .6158801    1.906095
 _Iyear_1750 |   1.397979   .3559801     3.93   0.000     .6936641    2.102295
 _Iyear_1800 |    1.62504   .3887998     4.18   0.000     .8557897     2.39429
 _Iyear_1850 |   1.857155   .4259837     4.36   0.000     1.014336    2.699974
 _Iyear_1900 |   2.380244   .5275065     4.51   0.000     1.336559    3.423928
       _cons |   12.64235    .032383   390.40   0.000     12.57827    12.70642
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 4
. xi: areg ln_population ln_wpot_post `ln_all_flexible' `ln_elevation_flexible' `ln_tropic
> al_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   58.53
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24781

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0344524    .010543     3.27   0.001     .0135928     .055312
 ln_all_1100 |   .0158236   .0046008     3.44   0.001     .0067208    .0249264
 ln_all_1200 |   .0386898   .0075255     5.14   0.000     .0238005    .0535792
 ln_all_1300 |   .0556434   .0093449     5.95   0.000     .0371544    .0741324
 ln_all_1400 |    .037314   .0104683     3.56   0.001     .0166022    .0580258
 ln_all_1500 |   .0638331   .0120615     5.29   0.000     .0399692     .087697
 ln_all_1600 |   .0728444   .0110735     6.58   0.000     .0509353    .0947535
 ln_all_1700 |   .0852811   .0134264     6.35   0.000     .0587166    .1118456
 ln_all_1750 |   .0654779   .0168351     3.89   0.000     .0321693    .0987865
 ln_all_1800 |   .0871067   .0179801     4.84   0.000     .0515326    .1226808
 ln_all_1850 |   .1113859   .0187067     5.95   0.000     .0743743    .1483975
 ln_all_1900 |   .1435855    .021245     6.76   0.000     .1015518    .1856193
ln_elev~1100 |  -.0180897   .0119213    -1.52   0.132    -.0416762    .0054969
ln_elev~1200 |  -.0530653   .0246569    -2.15   0.033    -.1018496   -.0042811
ln_elev~1300 |  -.0849831   .0332146    -2.56   0.012    -.1506989   -.0192673
ln_elev~1400 |  -.0380905   .0338067    -1.13   0.262     -.104978    .0287969
ln_elev~1500 |  -.0815071   .0418646    -1.95   0.054    -.1643373    .0013231
ln_elev~1600 |  -.1159275   .0457585    -2.53   0.012    -.2064618   -.0253932
ln_elev~1700 |  -.1804183   .0556253    -3.24   0.002    -.2904743   -.0703623
ln_elev~1750 |  -.1841273   .0615634    -2.99   0.003    -.3059319   -.0623226
ln_elev~1800 |  -.2194208   .0672502    -3.26   0.001    -.3524769   -.0863647
ln_elev~1850 |  -.2445701   .0751976    -3.25   0.001    -.3933504   -.0957898
ln_elev~1900 |  -.3080669   .0924903    -3.33   0.001    -.4910611   -.1250726
ln_trop~1100 |  -.0047528   .0023842    -1.99   0.048    -.0094699   -.0000357
ln_trop~1200 |  -.0135388   .0048179    -2.81   0.006    -.0230712   -.0040064
ln_trop~1300 |   -.016073   .0066179    -2.43   0.017    -.0291668   -.0029792
ln_trop~1400 |   .0076259   .0074402     1.02   0.307    -.0070948    .0223465
ln_trop~1500 |   .0003532   .0089768     0.04   0.969    -.0174076    .0181141
ln_trop~1600 |  -.0070574   .0091681    -0.77   0.443    -.0251966    .0110819
ln_trop~1700 |  -.0045881   .0109681    -0.42   0.676    -.0262886    .0171125
ln_trop~1750 |   .0031673   .0108683     0.29   0.771    -.0183358    .0246704
ln_trop~1800 |  -.0098485   .0121023    -0.81   0.417    -.0337931    .0140961
ln_trop~1850 |  -.0219331   .0135646    -1.62   0.108     -.048771    .0049048
ln_trop~1900 |   -.032413   .0159201    -2.04   0.044    -.0639113   -.0009147
ln_rugg~1100 |   .0079192   .0116813     0.68   0.499    -.0151926     .031031
ln_rugg~1200 |   .0205671   .0236161     0.87   0.385    -.0261579    .0672921
ln_rugg~1300 |   .0446363   .0314299     1.42   0.158    -.0175485    .1068211
ln_rugg~1400 |   .0219599   .0393492     0.56   0.578    -.0558934    .0998132
ln_rugg~1500 |   .0574504   .0457777     1.25   0.212     -.033122    .1480228
ln_rugg~1600 |   .0693478   .0491378     1.41   0.161    -.0278725    .1665681
ln_rugg~1700 |   .0978508   .0600081     1.63   0.105    -.0208768    .2165783
ln_rugg~1750 |   .0948093   .0716726     1.32   0.188    -.0469967    .2366153
ln_rugg~1800 |    .120504   .0772203     1.56   0.121    -.0322783    .2732862
ln_rugg~1850 |   .1236495   .0829789     1.49   0.139    -.0405262    .2878253
ln_rugg~1900 |   .1917921   .1003572     1.91   0.058    -.0067671    .3903514
 _Iyear_1100 |   .1366464   .0718053     1.90   0.059    -.0054223     .278715
 _Iyear_1200 |   .3448865   .1421339     2.43   0.017      .063671     .626102
 _Iyear_1300 |   .5249753   .1947313     2.70   0.008     .1396947    .9102559
 _Iyear_1400 |   .2858586   .1984026     1.44   0.152    -.1066858     .678403
 _Iyear_1500 |   .5075955   .2518102     2.02   0.046     .0093828    1.005808
 _Iyear_1600 |   .8656223   .2771906     3.12   0.002     .3171938    1.414051
 _Iyear_1700 |   1.277639   .3347578     3.82   0.000     .6153122    1.939965
 _Iyear_1750 |   1.405869   .3647222     3.85   0.000     .6842577    2.127481
 _Iyear_1800 |   1.640617    .400657     4.09   0.000     .8479074    2.433327
 _Iyear_1850 |   1.884043   .4439372     4.24   0.000     1.005702    2.762383
 _Iyear_1900 |   2.424792   .5532959     4.38   0.000     1.330082    3.519501
       _cons |   12.64225   .0323159   391.21   0.000     12.57831    12.70619
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 5
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' `ln_spot_flexible' `ln_silagemaize_flexible' `ln_ma
> ize_flexible' `ln_cassava_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F(100,   129) =  198.05
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9904
                                                       Adj R-squared =  0.9888
                                                       Root MSE      =  .24467

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0430282   .0138967     3.10   0.002     .0155333    .0705232
ln_owor~1100 |    .018078   .0070985     2.55   0.012     .0040334    .0321226
ln_owor~1200 |   .0474355   .0117639     4.03   0.000     .0241603    .0707106
ln_owor~1300 |   .0783197   .0151759     5.16   0.000     .0482938    .1083455
ln_owor~1400 |   .0538266   .0197067     2.73   0.007     .0148364    .0928167
ln_owor~1500 |   .0772618   .0247798     3.12   0.002     .0282343    .1262892
ln_owor~1600 |   .0909869   .0217352     4.19   0.000     .0479833    .1339905
ln_owor~1700 |   .1106861   .0250908     4.41   0.000     .0610434    .1603288
ln_owor~1750 |   .0987396   .0282286     3.50   0.001     .0428886    .1545907
ln_owor~1800 |    .122886   .0313147     3.92   0.000     .0609291     .184843
ln_owor~1850 |   .1418137   .0318213     4.46   0.000     .0788545    .2047729
ln_owor~1900 |   .1594423   .0394396     4.04   0.000     .0814101    .2374745
ln_elev~1100 |  -.0098381   .0139579    -0.70   0.482    -.0374541    .0177778
ln_elev~1200 |  -.0349116   .0271593    -1.29   0.201    -.0886469    .0188237
ln_elev~1300 |  -.0679891   .0354052    -1.92   0.057    -.1380391    .0020609
ln_elev~1400 |  -.0419764   .0386345    -1.09   0.279    -.1184157    .0344629
ln_elev~1500 |  -.0741915   .0499619    -1.48   0.140    -.1730422    .0246593
ln_elev~1600 |  -.1193515    .054868    -2.18   0.031    -.2279091   -.0107939
ln_elev~1700 |  -.1971435   .0658031    -3.00   0.003    -.3273365   -.0669504
ln_elev~1750 |    -.22238   .0699151    -3.18   0.002    -.3607087   -.0840513
ln_elev~1800 |  -.2442938   .0778059    -3.14   0.002    -.3982347   -.0903529
ln_elev~1850 |  -.2366948   .0837357    -2.83   0.005    -.4023679   -.0710218
ln_elev~1900 |  -.2605843   .1028842    -2.53   0.013    -.4641432   -.0570254
ln_trop~1100 |  -.0005623   .0051058    -0.11   0.912    -.0106642    .0095396
ln_trop~1200 |  -.0001635   .0091925    -0.02   0.986    -.0183512    .0180242
ln_trop~1300 |   .0011476   .0121641     0.09   0.925    -.0229194    .0252147
ln_trop~1400 |   .0077299   .0145162     0.53   0.595    -.0209907    .0364505
ln_trop~1500 |   .0115166   .0187185     0.62   0.539    -.0255183    .0485516
ln_trop~1600 |  -.0089371   .0199257    -0.45   0.655    -.0483605    .0304864
ln_trop~1700 |  -.0235115   .0233043    -1.01   0.315    -.0696197    .0225966
ln_trop~1750 |   -.036319   .0252615    -1.44   0.153    -.0862994    .0136614
ln_trop~1800 |  -.0422287   .0277021    -1.52   0.130    -.0970379    .0125805
ln_trop~1850 |  -.0351934   .0302613    -1.16   0.247     -.095066    .0246792
ln_trop~1900 |  -.0263641   .0444765    -0.59   0.554     -.114362    .0616338
ln_rugg~1100 |   .0013768   .0139067     0.10   0.921     -.026138    .0288915
ln_rugg~1200 |    .006393   .0271975     0.24   0.815    -.0474179    .0602039
ln_rugg~1300 |   .0320353   .0348703     0.92   0.360    -.0369564    .1010271
ln_rugg~1400 |   .0221835   .0432076     0.51   0.609    -.0633038    .1076709
ln_rugg~1500 |   .0465897   .0529074     0.88   0.380    -.0580889    .1512683
ln_rugg~1600 |   .0670869   .0574722     1.17   0.245    -.0466233    .1807972
ln_rugg~1700 |   .1056625   .0696266     1.52   0.132    -.0320955    .2434205
ln_rugg~1750 |   .1202566   .0786785     1.53   0.129    -.0354107    .2759239
ln_rugg~1800 |   .1364252    .087376     1.56   0.121    -.0364503    .3093006
ln_rugg~1850 |   .1149246   .0917941     1.25   0.213    -.0666922    .2965415
ln_rugg~1900 |   .1525299   .1115314     1.37   0.174    -.0681377    .3731975
ln_spot_1100 |   .0064971   .0096503     0.67   0.502    -.0125963    .0255904
ln_spot_1200 |   .0013904   .0149767     0.09   0.926    -.0282413    .0310222
ln_spot_1300 |  -.0086353    .019466    -0.44   0.658    -.0471492    .0298787
ln_spot_1400 |    .019883    .023359     0.85   0.396    -.0263333    .0660993
ln_spot_1500 |   .0173712   .0291845     0.60   0.553    -.0403711    .0751134
ln_spot_1600 |   .0298767   .0280685     1.06   0.289    -.0256575    .0854109
ln_spot_1700 |   .0631997   .0325998     1.94   0.055    -.0012998    .1276991
ln_spot_1750 |   .0799504   .0309035     2.59   0.011     .0188071    .1410938
ln_spot_1800 |   .0751506   .0335846     2.24   0.027     .0087025    .1415986
ln_spot_1850 |   .0662579   .0366847     1.81   0.073    -.0063238    .1388395
ln_spot_1900 |   .0500779   .0440774     1.14   0.258    -.0371303    .1372861
ln_sila~1100 |   .0031546   .0063701     0.50   0.621    -.0094487     .015758
ln_sila~1200 |   .0007824   .0094813     0.08   0.934    -.0179766    .0195414
ln_sila~1300 |  -.0129385    .010529    -1.23   0.221    -.0337704    .0078934
ln_sila~1400 |  -.0139944   .0151829    -0.92   0.358    -.0440341    .0160452
ln_sila~1500 |  -.0110668    .019099    -0.58   0.563    -.0488546    .0267211
ln_sila~1600 |   -.016047   .0177856    -0.90   0.369    -.0512363    .0191424
ln_sila~1700 |  -.0219716   .0200566    -1.10   0.275    -.0616542    .0177109
ln_sila~1750 |  -.0373415   .0236879    -1.58   0.117    -.0842086    .0095256
ln_sila~1800 |  -.0343086   .0264676    -1.30   0.197    -.0866755    .0180582
ln_sila~1850 |  -.0163031   .0237935    -0.69   0.494    -.0633792    .0307729
ln_sila~1900 |   .0098849   .0335225     0.29   0.769    -.0564402    .0762101
ln_maiz~1100 |  -.0073683   .0041918    -1.76   0.081    -.0156618    .0009253
ln_maiz~1200 |  -.0122516   .0080024    -1.53   0.128    -.0280846    .0035814
ln_maiz~1300 |  -.0132016   .0098516    -1.34   0.183    -.0326933    .0062902
ln_maiz~1400 |  -.0085169   .0110709    -0.77   0.443     -.030421    .0133872
ln_maiz~1500 |  -.0080132   .0135772    -0.59   0.556    -.0348761    .0188497
ln_maiz~1600 |  -.0097321   .0137573    -0.71   0.481    -.0369512    .0174871
ln_maiz~1700 |  -.0192487   .0169304    -1.14   0.258     -.052746    .0142485
ln_maiz~1750 |  -.0259738   .0175381    -1.48   0.141    -.0606733    .0087256
ln_maiz~1800 |   -.033346   .0200596    -1.66   0.099    -.0730345    .0063425
ln_maiz~1850 |  -.0467119    .023384    -2.00   0.048    -.0929778    -.000446
ln_maiz~1900 |  -.0581265   .0275072    -2.11   0.037    -.1125501   -.0037029
ln_cass~1100 |  -.0073237   .0068366    -1.07   0.286    -.0208501    .0062026
ln_cass~1200 |  -.0138685   .0108915    -1.27   0.205    -.0354176    .0076805
ln_cass~1300 |  -.0178115   .0151304    -1.18   0.241    -.0477473    .0121243
ln_cass~1400 |  -.0258167   .0192108    -1.34   0.181    -.0638258    .0121924
ln_cass~1500 |  -.0341377   .0238457    -1.43   0.155     -.081317    .0130416
ln_cass~1600 |  -.0321651   .0225252    -1.43   0.156    -.0767318    .0124017
ln_cass~1700 |  -.0436102   .0257851    -1.69   0.093    -.0946267    .0074063
ln_cass~1750 |  -.0390301    .024907    -1.57   0.120    -.0883092    .0102491
ln_cass~1800 |  -.0386874   .0271766    -1.42   0.157    -.0924569    .0150822
ln_cass~1850 |   -.038309   .0329569    -1.16   0.247    -.1035152    .0268971
ln_cass~1900 |  -.0250649   .0491204    -0.51   0.611    -.1222509    .0721211
 _Iyear_1100 |   .0908267   .0870361     1.04   0.299    -.0813764    .2630297
 _Iyear_1200 |   .2401611   .1642193     1.46   0.146    -.0847507     .565073
 _Iyear_1300 |   .4200441   .2136842     1.97   0.051    -.0027354    .8428237
 _Iyear_1400 |    .314045   .2312747     1.36   0.177    -.1435377    .7716277
 _Iyear_1500 |   .4812563   .3019502     1.59   0.113    -.1161595    1.078672
 _Iyear_1600 |   .9045084   .3304626     2.74   0.007     .2506802    1.558337
 _Iyear_1700 |   1.409958   .3933057     3.58   0.000     .6317933    2.188123
 _Iyear_1750 |   1.666743   .4177021     3.99   0.000     .8403095    2.493177
 _Iyear_1800 |   1.830453   .4652905     3.93   0.000     .9098641    2.751041
 _Iyear_1850 |   1.890771   .4986554     3.79   0.000     .9041689    2.877373
 _Iyear_1900 |   2.224652   .6162641     3.61   0.000     1.005358    3.443945
       _cons |   12.64119   .0324291   389.81   0.000     12.57703    12.70535
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. 
. *** City Population Share ***
. * Col 6
. xi: areg city_pop_share ln_wpot_post i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 12,   129) =    5.14
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.3799
                                                       Adj R-squared =  0.3179
                                                       Root MSE      =  .04021

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0043798   .0008952     4.89   0.000     .0026086     .006151
 _Iyear_1100 |    .000734   .0060215     0.12   0.903    -.0111798    .0126477
 _Iyear_1200 |   .0008448   .0042632     0.20   0.843    -.0075899    .0092796
 _Iyear_1300 |  -.0058367   .0042477    -1.37   0.172     -.014241    .0025676
 _Iyear_1400 |   .0021709   .0051111     0.42   0.672    -.0079415    .0122833
 _Iyear_1500 |   .0011619   .0038615     0.30   0.764    -.0064783     .008802
 _Iyear_1600 |   .0025146   .0054035     0.47   0.642    -.0081763    .0132055
 _Iyear_1700 |   .0039724   .0050152     0.79   0.430    -.0059503    .0138951
 _Iyear_1750 |  -.0131004   .0055529    -2.36   0.020    -.0240869   -.0021139
 _Iyear_1800 |   -.013157   .0053076    -2.48   0.014    -.0236582   -.0026558
 _Iyear_1850 |  -.0149063    .005099    -2.92   0.004    -.0249949   -.0048178
 _Iyear_1900 |   .0275741   .0066567     4.14   0.000     .0144036    .0407445
       _cons |   .0140321   .0037206     3.77   0.000     .0066708    .0213934
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 7
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' i.year, a(isocode) cluster(iso
> code)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 23,   129) =    3.11
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.3892
                                                       Adj R-squared =  0.3228
                                                       Root MSE      =  .04006

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0045972   .0009432     4.87   0.000      .002731    .0064634
ln_owor~1100 |  -.0020225   .0027908    -0.72   0.470    -.0075442    .0034992
ln_owor~1200 |  -.0003268   .0012402    -0.26   0.793    -.0027806     .002127
ln_owor~1300 |   .0004446   .0007715     0.58   0.565    -.0010818     .001971
ln_owor~1400 |   .0015922   .0008465     1.88   0.062    -.0000826    .0032669
ln_owor~1500 |   .0011068   .0007536     1.47   0.144    -.0003842    .0025978
ln_owor~1600 |   .0024055   .0014601     1.65   0.102    -.0004833    .0052944
ln_owor~1700 |   .0017922   .0007534     2.38   0.019     .0003016    .0032827
ln_owor~1750 |   -.001291   .0009597    -1.35   0.181    -.0031898    .0006078
ln_owor~1800 |  -.0010137   .0009668    -1.05   0.296    -.0029266    .0008992
ln_owor~1850 |  -.0011152   .0009047    -1.23   0.220    -.0029052    .0006748
ln_owor~1900 |   .0037808   .0018663     2.03   0.045     .0000883    .0074734
 _Iyear_1100 |   .0150405   .0247025     0.61   0.544    -.0338339     .063915
 _Iyear_1200 |   .0031566   .0110481     0.29   0.776    -.0187023    .0250155
 _Iyear_1300 |  -.0089816   .0074386    -1.21   0.229     -.023699    .0057358
 _Iyear_1400 |  -.0090976   .0073246    -1.24   0.216    -.0235894    .0053943
 _Iyear_1500 |  -.0066656    .005918    -1.13   0.262    -.0183745    .0050433
 _Iyear_1600 |  -.0145196   .0077306    -1.88   0.063    -.0298148    .0007756
 _Iyear_1700 |   -.008714   .0071204    -1.22   0.223    -.0228018    .0053739
 _Iyear_1750 |   -.004752   .0074237    -0.64   0.523    -.0194399     .009936
 _Iyear_1800 |  -.0067745   .0076204    -0.89   0.376    -.0218516    .0083026
 _Iyear_1850 |  -.0078045   .0072433    -1.08   0.283    -.0221356    .0065266
 _Iyear_1900 |  -.0000311   .0127963    -0.00   0.998    -.0253489    .0252866
       _cons |   .0140199   .0037332     3.76   0.000     .0066336    .0214062
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 8
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.03
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4441
                                                       Adj R-squared =  0.3688
                                                       Root MSE      =  .03868

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0036269   .0011611     3.12   0.002     .0013297    .0059241
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013151   .0011375     1.16   0.250    -.0009354    .0035656
ln_owor~1500 |    .000625   .0009687     0.65   0.520    -.0012916    .0025417
ln_owor~1600 |   .0017471   .0012308     1.42   0.158    -.0006881    .0041823
ln_owor~1700 |   .0022121    .001109     1.99   0.048     .0000178    .0044063
ln_owor~1750 |  -.0014165   .0017433    -0.81   0.418    -.0048657    .0020327
ln_owor~1800 |  -.0008886   .0016687    -0.53   0.595    -.0041902     .002413
ln_owor~1850 |  -.0011536   .0017242    -0.67   0.505    -.0045649    .0022577
ln_owor~1900 |   .0084499   .0025593     3.30   0.001     .0033862    .0135136
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019859   .0046989     0.42   0.673     -.007311    .0112828
ln_elev~1500 |   .0049366   .0047782     1.03   0.303    -.0045171    .0143903
ln_elev~1600 |  -.0016237   .0076557    -0.21   0.832    -.0167708    .0135233
ln_elev~1700 |  -.0045548     .00631    -0.72   0.472    -.0170393    .0079298
ln_elev~1750 |  -.0049402   .0069171    -0.71   0.476    -.0186258    .0087453
ln_elev~1800 |  -.0057942   .0063175    -0.92   0.361    -.0182934    .0067051
ln_elev~1850 |  -.0067614   .0060674    -1.11   0.267     -.018766    .0052432
ln_elev~1900 |  -.0249316   .0089147    -2.80   0.006    -.0425695   -.0072937
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003589   .0011428    -0.31   0.754    -.0026198    .0019021
ln_trop~1500 |   .0002671   .0008219     0.32   0.746     -.001359    .0018931
ln_trop~1600 |   .0009823   .0015664     0.63   0.532    -.0021169    .0040815
ln_trop~1700 |  -.0011923   .0009913    -1.20   0.231    -.0031537    .0007692
ln_trop~1750 |   .0007007   .0011677     0.60   0.550    -.0016097    .0030111
ln_trop~1800 |   .0003621   .0010914     0.33   0.741    -.0017972    .0025214
ln_trop~1850 |   .0006149   .0011311     0.54   0.588    -.0016229    .0028528
ln_trop~1900 |  -.0061801   .0017128    -3.61   0.000    -.0095688   -.0027914
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092067   .0068214    -1.35   0.179     -.022703    .0042895
ln_rugg~1500 |  -.0051998   .0053491    -0.97   0.333    -.0157831    .0053834
ln_rugg~1600 |  -.0007985   .0083459    -0.10   0.924     -.017311     .015714
ln_rugg~1700 |  -.0070481   .0061864    -1.14   0.257     -.019288    .0051918
ln_rugg~1750 |  -.0064152   .0061433    -1.04   0.298    -.0185699    .0057395
ln_rugg~1800 |  -.0059151   .0057743    -1.02   0.308    -.0173397    .0055095
ln_rugg~1850 |  -.0060519   .0056935    -1.06   0.290    -.0173166    .0052128
ln_rugg~1900 |  -.0020558   .0098998    -0.21   0.836    -.0216427    .0175311
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |   -.019356   .0299545    -0.65   0.519    -.0786217    .0399098
 _Iyear_1500 |  -.0348158   .0297443    -1.17   0.244    -.0936656    .0240339
 _Iyear_1600 |  -.0039891   .0423284    -0.09   0.925    -.0877368    .0797585
 _Iyear_1700 |   .0189262   .0390795     0.48   0.629    -.0583935    .0962458
 _Iyear_1750 |   .0255736   .0420897     0.61   0.545    -.0577018     .108849
 _Iyear_1800 |   .0282929   .0387748     0.73   0.467     -.048424    .1050098
 _Iyear_1850 |   .0332241    .037232     0.89   0.374    -.0404404    .1068886
 _Iyear_1900 |   .1434819   .0555175     2.58   0.011     .0336391    .2533248
       _cons |   .0139837   .0037453     3.73   0.000     .0065736    .0213939
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 9
. xi: areg city_pop_share ln_wpot_post `ln_all_flexible' `ln_elevation_flexible' `ln_tropi
> cal_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.00
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4397
                                                       Adj R-squared =  0.3638
                                                       Root MSE      =  .03883

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0038547   .0011046     3.49   0.001     .0016693    .0060401
 ln_all_1100 |  -.0016485   .0021137    -0.78   0.437    -.0058305    .0025336
 ln_all_1200 |  -.0003549   .0012516    -0.28   0.777    -.0028312    .0021213
 ln_all_1300 |  -.0003353   .0010716    -0.31   0.755    -.0024556     .001785
 ln_all_1400 |   .0013459   .0011281     1.19   0.235     -.000886    .0035778
 ln_all_1500 |   .0009396   .0009877     0.95   0.343    -.0010147    .0028939
 ln_all_1600 |    .002019    .001106     1.83   0.070    -.0001693    .0042072
 ln_all_1700 |   .0027956   .0010669     2.62   0.010     .0006847    .0049064
 ln_all_1750 |  -.0012001   .0016694    -0.72   0.474    -.0045031    .0021028
 ln_all_1800 |  -.0007854   .0016234    -0.48   0.629    -.0039975    .0024266
 ln_all_1850 |  -.0012092   .0016881    -0.72   0.475    -.0045492    .0021307
 ln_all_1900 |   .0082501    .002649     3.11   0.002     .0030089    .0134913
ln_elev~1100 |   .0065538   .0049596     1.32   0.189    -.0032589    .0163664
ln_elev~1200 |   .0033495   .0032996     1.02   0.312    -.0031788    .0098779
ln_elev~1300 |   .0035755   .0036958     0.97   0.335    -.0037367    .0108878
ln_elev~1400 |   .0017765   .0047021     0.38   0.706    -.0075267    .0110796
ln_elev~1500 |   .0046879   .0047502     0.99   0.326    -.0047106    .0140864
ln_elev~1600 |  -.0020151   .0076334    -0.26   0.792     -.017118    .0130878
ln_elev~1700 |  -.0051677   .0062553    -0.83   0.410     -.017544    .0072086
ln_elev~1750 |  -.0048455   .0069699    -0.70   0.488    -.0186357    .0089446
ln_elev~1800 |  -.0057207    .006368    -0.90   0.371      -.01832    .0068786
ln_elev~1850 |  -.0065709   .0061277    -1.07   0.286    -.0186947     .005553
ln_elev~1900 |  -.0260711   .0091928    -2.84   0.005    -.0442594   -.0078829
ln_trop~1100 |   .0000264   .0008895     0.03   0.976    -.0017334    .0017863
ln_trop~1200 |   .0002251   .0007754     0.29   0.772     -.001309    .0017592
ln_trop~1300 |   .0009447   .0007761     1.22   0.226    -.0005908    .0024802
ln_trop~1400 |  -.0004231   .0011648    -0.36   0.717    -.0027276    .0018815
ln_trop~1500 |   .0001612   .0008509     0.19   0.850    -.0015224    .0018448
ln_trop~1600 |   .0008401   .0015959     0.53   0.600    -.0023174    .0039976
ln_trop~1700 |  -.0014315   .0010152    -1.41   0.161    -.0034402    .0005772
ln_trop~1750 |   .0007543   .0011939     0.63   0.529    -.0016078    .0031164
ln_trop~1800 |   .0004218   .0011103     0.38   0.705    -.0017749    .0026185
ln_trop~1850 |   .0007252   .0011525     0.63   0.530    -.0015549    .0030054
ln_trop~1900 |  -.0064365   .0017616    -3.65   0.000     -.009922   -.0029511
ln_rugg~1100 |  -.0104005    .008849    -1.18   0.242    -.0279085    .0071075
ln_rugg~1200 |  -.0044052   .0046327    -0.95   0.343     -.013571    .0047606
ln_rugg~1300 |  -.0058693   .0048223    -1.22   0.226    -.0154104    .0036718
ln_rugg~1400 |  -.0089851   .0067797    -1.33   0.187     -.022399    .0044287
ln_rugg~1500 |  -.0049239    .005329    -0.92   0.357    -.0154674    .0056197
ln_rugg~1600 |  -.0003697   .0083013    -0.04   0.965    -.0167939    .0160545
ln_rugg~1700 |  -.0063661   .0060686    -1.05   0.296    -.0183729    .0056408
ln_rugg~1750 |   -.006569   .0061506    -1.07   0.287    -.0187381       .0056
ln_rugg~1800 |  -.0060506   .0057867    -1.05   0.298    -.0174998    .0053985
ln_rugg~1850 |   -.006321    .005706    -1.11   0.270    -.0176105    .0049686
ln_rugg~1900 |  -.0008892   .0100607    -0.09   0.930    -.0207946    .0190163
 _Iyear_1100 |  -.0280961   .0274337    -1.02   0.308    -.0823744    .0261821
 _Iyear_1200 |  -.0182663   .0171112    -1.07   0.288    -.0521213    .0155887
 _Iyear_1300 |  -.0295421   .0248791    -1.19   0.237     -.078766    .0196819
 _Iyear_1400 |  -.0187722    .030514    -0.62   0.540     -.079145    .0416005
 _Iyear_1500 |  -.0356112   .0303092    -1.17   0.242    -.0955786    .0243562
 _Iyear_1600 |  -.0040589   .0435317    -0.09   0.926    -.0901875    .0820697
 _Iyear_1700 |   .0179641   .0396069     0.45   0.651    -.0603991    .0963273
 _Iyear_1750 |   .0230516   .0429659     0.54   0.593    -.0619574    .1080607
 _Iyear_1800 |   .0264494    .039398     0.67   0.503    -.0515005    .1043994
 _Iyear_1850 |   .0318212   .0377852     0.84   0.401    -.0429378    .1065802
 _Iyear_1900 |   .1474886   .0565473     2.61   0.010     .0356084    .2593688
       _cons |   .0139789   .0037395     3.74   0.000     .0065802    .0213775
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 10
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' `ln_spot_flexible' `ln_silagemaize_flexible' `ln_m
> aize_flexible' `ln_cassava_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F(100,   129) =   13.94
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4774
                                                       Adj R-squared =  0.3869
                                                       Root MSE      =  .03812

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |    .003855   .0010662     3.62   0.000     .0017455    .0059645
ln_owor~1100 |  -.0106247   .0079835    -1.33   0.186    -.0264202    .0051708
ln_owor~1200 |  -.0048844   .0049474    -0.99   0.325     -.014673    .0049042
ln_owor~1300 |  -.0056626   .0042229    -1.34   0.182    -.0140178    .0026925
ln_owor~1400 |  -.0031387   .0044979    -0.70   0.487     -.012038    .0057606
ln_owor~1500 |  -.0009474   .0021225    -0.45   0.656    -.0051467     .003252
ln_owor~1600 |   .0013428   .0026254     0.51   0.610    -.0038516    .0065372
ln_owor~1700 |   .0001591   .0048498     0.03   0.974    -.0094364    .0097546
ln_owor~1750 |  -.0008542   .0057166    -0.15   0.881    -.0121647    .0104562
ln_owor~1800 |  -.0009539   .0052753    -0.18   0.857    -.0113911    .0094833
ln_owor~1850 |  -.0017812   .0050957    -0.35   0.727    -.0118631    .0083008
ln_owor~1900 |   .0032574   .0061301     0.53   0.596    -.0088711    .0153859
ln_elev~1100 |   .0097223   .0064784     1.50   0.136    -.0030954    .0225401
ln_elev~1200 |   .0053124   .0043279     1.23   0.222    -.0032505    .0138753
ln_elev~1300 |   .0060034    .004642     1.29   0.198     -.003181    .0151878
ln_elev~1400 |   .0068998   .0059509     1.16   0.248    -.0048741    .0186737
ln_elev~1500 |   .0056242   .0057407     0.98   0.329     -.005734    .0169824
ln_elev~1600 |  -.0025361   .0113896    -0.22   0.824    -.0250707    .0199985
ln_elev~1700 |  -.0015355   .0076886    -0.20   0.842    -.0167476    .0136766
ln_elev~1750 |  -.0057175   .0086092    -0.66   0.508    -.0227511    .0113161
ln_elev~1800 |  -.0060607    .007841    -0.77   0.441    -.0215744    .0094529
ln_elev~1850 |  -.0061754   .0074091    -0.83   0.406    -.0208346    .0084838
ln_elev~1900 |   -.010522   .0099957    -1.05   0.294    -.0302987    .0092547
ln_trop~1100 |    .001794   .0024702     0.73   0.469    -.0030933    .0066814
ln_trop~1200 |   .0012555   .0018028     0.70   0.487    -.0023115    .0048224
ln_trop~1300 |    .003186   .0021079     1.51   0.133    -.0009846    .0073566
ln_trop~1400 |     .00335   .0023014     1.46   0.148    -.0012035    .0079034
ln_trop~1500 |   .0023342   .0018218     1.28   0.202    -.0012703    .0059387
ln_trop~1600 |   .0004546   .0032141     0.14   0.888    -.0059046    .0068137
ln_trop~1700 |   .0024367   .0027095     0.90   0.370    -.0029242    .0077976
ln_trop~1750 |   .0007383    .003143     0.23   0.815    -.0054802    .0069568
ln_trop~1800 |   .0004943   .0028757     0.17   0.864    -.0051955     .006184
ln_trop~1850 |   .0004197    .002745     0.15   0.879    -.0050113    .0058508
ln_trop~1900 |     .00144   .0039789     0.36   0.718    -.0064323    .0093124
ln_rugg~1100 |  -.0136963   .0104374    -1.31   0.192    -.0343469    .0069543
ln_rugg~1200 |  -.0063256   .0059487    -1.06   0.290    -.0180952     .005444
ln_rugg~1300 |  -.0085157    .006204    -1.37   0.172    -.0207904    .0037589
ln_rugg~1400 |  -.0135268    .008926    -1.52   0.132    -.0311871    .0041334
ln_rugg~1500 |  -.0061716   .0062088    -0.99   0.322    -.0184559    .0061126
ln_rugg~1600 |  -.0002159   .0115504    -0.02   0.985    -.0230687    .0226369
ln_rugg~1700 |  -.0099738   .0078155    -1.28   0.204     -.025437    .0054894
ln_rugg~1750 |   -.006035   .0081043    -0.74   0.458    -.0220695    .0099995
ln_rugg~1800 |  -.0059524   .0076439    -0.78   0.438     -.021076    .0091712
ln_rugg~1850 |  -.0065538   .0075437    -0.87   0.387    -.0214792    .0083716
ln_rugg~1900 |  -.0127108    .011402    -1.11   0.267    -.0352699    .0098482
ln_spot_1100 |   -.004032   .0030982    -1.30   0.195    -.0101618    .0020979
ln_spot_1200 |  -.0020586   .0022119    -0.93   0.354    -.0064348    .0023176
ln_spot_1300 |  -.0013729   .0023621    -0.58   0.562    -.0060465    .0033006
ln_spot_1400 |  -.0022055   .0027245    -0.81   0.420     -.007596    .0031849
ln_spot_1500 |  -.0025002    .002384    -1.05   0.296    -.0072169    .0022166
ln_spot_1600 |   .0008461   .0023488     0.36   0.719    -.0038011    .0054933
ln_spot_1700 |   .0005126   .0027439     0.19   0.852    -.0049163    .0059415
ln_spot_1750 |   .0034758   .0031264     1.11   0.268    -.0027098    .0096614
ln_spot_1800 |   .0031528   .0030077     1.05   0.296     -.002798    .0091037
ln_spot_1850 |   .0026292   .0032313     0.81   0.417    -.0037639    .0090223
ln_spot_1900 |   -.001136   .0049927    -0.23   0.820    -.0110143    .0087422
ln_sila~1100 |   .0052048   .0040262     1.29   0.198     -.002761    .0131707
ln_sila~1200 |   .0029039   .0032169     0.90   0.368    -.0034607    .0092685
ln_sila~1300 |   .0037099    .002934     1.26   0.208    -.0020951    .0095149
ln_sila~1400 |   .0047142   .0034586     1.36   0.175    -.0021288    .0115572
ln_sila~1500 |   .0003938   .0012458     0.32   0.752    -.0020711    .0028587
ln_sila~1600 |  -.0001748   .0024937    -0.07   0.944    -.0051086     .004759
ln_sila~1700 |   .0025889   .0033276     0.78   0.438    -.0039947    .0091726
ln_sila~1750 |  -.0003645   .0039884    -0.09   0.927    -.0082556    .0075267
ln_sila~1800 |   .0002631   .0037912     0.07   0.945    -.0072378     .007764
ln_sila~1850 |   .0011502   .0036683     0.31   0.754    -.0061076    .0084081
ln_sila~1900 |    .011135   .0050845     2.19   0.030     .0010753    .0211947
ln_maiz~1100 |   .0039189   .0027755     1.41   0.160    -.0015724    .0094102
ln_maiz~1200 |    .001801   .0019552     0.92   0.359    -.0020675    .0056694
ln_maiz~1300 |   .0024996    .002176     1.15   0.253    -.0018056    .0068048
ln_maiz~1400 |   .0006147   .0032386     0.19   0.850     -.005793    .0070223
ln_maiz~1500 |   .0022393   .0017273     1.30   0.197    -.0011781    .0056567
ln_maiz~1600 |   .0006488   .0022878     0.28   0.777    -.0038776    .0051753
ln_maiz~1700 |   .0002995   .0026835     0.11   0.911      -.00501    .0056089
ln_maiz~1750 |  -.0005649   .0031562    -0.18   0.858    -.0068096    .0056797
ln_maiz~1800 |  -.0005553    .002989    -0.19   0.853    -.0064691    .0053586
ln_maiz~1850 |  -.0011538   .0032037    -0.36   0.719    -.0074924    .0051848
ln_maiz~1900 |  -.0067414   .0043769    -1.54   0.126    -.0154012    .0019184
ln_cass~1100 |   .0050269   .0045604     1.10   0.272    -.0039959    .0140498
ln_cass~1200 |   .0026045   .0022003     1.18   0.239    -.0017488    .0069578
ln_cass~1300 |   .0007027   .0015901     0.44   0.659    -.0024433    .0038486
ln_cass~1400 |   .0005598   .0020578     0.27   0.786    -.0035115    .0046312
ln_cass~1500 |  -.0004142   .0020839    -0.20   0.843    -.0045372    .0037088
ln_cass~1600 |  -.0003568   .0039154    -0.09   0.928    -.0081035    .0073898
ln_cass~1700 |  -.0035243    .002812    -1.25   0.212     -.009088    .0020393
ln_cass~1750 |   -.003503   .0030384    -1.15   0.251    -.0095146    .0025086
ln_cass~1800 |  -.0028529   .0022946    -1.24   0.216    -.0073929    .0016871
ln_cass~1850 |  -.0011267   .0020056    -0.56   0.575    -.0050949    .0028415
ln_cass~1900 |   .0005088   .0038079     0.13   0.894    -.0070252    .0080429
 _Iyear_1100 |  -.0312925   .0339125    -0.92   0.358    -.0983892    .0358041
 _Iyear_1200 |  -.0224813   .0233089    -0.96   0.337    -.0685986     .023636
 _Iyear_1300 |  -.0388158   .0295594    -1.31   0.191    -.0972997    .0196682
 _Iyear_1400 |   -.045438   .0375075    -1.21   0.228    -.1196475    .0287715
 _Iyear_1500 |  -.0394619   .0358705    -1.10   0.273    -.1104324    .0315087
 _Iyear_1600 |   .0017392   .0666594     0.03   0.979     -.130148    .1336264
 _Iyear_1700 |  -.0007305    .047317    -0.02   0.988    -.0943484    .0928874
 _Iyear_1750 |   .0279611   .0517162     0.54   0.590    -.0743607    .1302828
 _Iyear_1800 |   .0286773   .0475183     0.60   0.547    -.0653389    .1226934
 _Iyear_1850 |   .0305733   .0452997     0.67   0.501    -.0590534    .1201999
 _Iyear_1900 |    .062731   .0627934     1.00   0.320    -.0615072    .1869692
       _cons |   .0140429    .003862     3.64   0.000     .0064017     .021684
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. 
. ****************************************************
. *** TABLE 5 - ROBUSTNESS TO ALTERNATIVE CUT-OFFS ***
. ****************************************************
. 
. /* Creating the alternative suitability measures */
. gen non_int_wpot=ln(1+wpot_lr_vs_mars)

. gen non_ext_int_wpot=0

. replace non_ext_int_wpot=1 if non_int_wpot>0
(1084 real changes made)

. replace non_ext_int_wpot=ln(1+all_lr_vs_mars) if non_int_wpot>0
(1084 real changes made)

. 
. preserve

. *****************************************
. *** Post = 1750+ (Baseline) - (Row 1) ***
. *****************************************
. gen ln_wpot_post_ver2=ln_wpot_ver2*post

. gen ln_wpot_post_ver3=ln_wpot_ver3*post

. for @ in any non_int_wpot non_ext_int_wpot: gen @_post=@*post

->  gen non_int_wpot_post=non_int_wpot*post

->  gen non_ext_int_wpot_post=non_ext_int_wpot*post

. 
. *** Total Population ***
. * Col1 
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   59.01
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24742

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0324743   .0116344     2.79   0.006     .0094554    .0554933
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0333736   .0097894     3.41   0.001     .0140049    .0527422
ln_owor~1500 |   .0580615   .0112321     5.17   0.000     .0358385    .0802845
ln_owor~1600 |   .0682408   .0102973     6.63   0.000     .0478673    .0886143
ln_owor~1700 |    .078719   .0127522     6.17   0.000     .0534885    .1039494
ln_owor~1750 |   .0614275   .0178208     3.45   0.001     .0261686    .0966864
ln_owor~1800 |   .0822527   .0186331     4.41   0.000     .0453867    .1191187
ln_owor~1850 |   .1062787   .0195893     5.43   0.000     .0675207    .1450366
ln_owor~1900 |   .1387866   .0221295     6.27   0.000      .095003    .1825703
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0312558   .0335634    -0.93   0.353    -.0976618    .0351502
ln_elev~1500 |  -.0701669   .0418284    -1.68   0.096    -.1529254    .0125915
ln_elev~1600 |  -.1036784   .0451877    -2.29   0.023    -.1930834   -.0142733
ln_elev~1700 |  -.1656741   .0552153    -3.00   0.003     -.274919   -.0564293
ln_elev~1750 |  -.1731198   .0607593    -2.85   0.005    -.2933336    -.052906
ln_elev~1800 |  -.2049785   .0661316    -3.10   0.002    -.3358215   -.0741355
ln_elev~1850 |  -.2264973   .0728878    -3.11   0.002    -.3707077    -.082287
ln_elev~1900 |  -.2854032   .0885897    -3.22   0.002    -.4606802   -.1101263
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0100387   .0071158     1.41   0.161    -.0040401    .0241175
ln_trop~1500 |   .0042562   .0085899     0.50   0.621     -.012739    .0212515
ln_trop~1600 |  -.0030181   .0087737    -0.34   0.731    -.0203771    .0143408
ln_trop~1700 |   .0003774   .0105295     0.04   0.971    -.0204555    .0212103
ln_trop~1750 |   .0063534   .0108277     0.59   0.558    -.0150695    .0277763
ln_trop~1800 |  -.0055897   .0119536    -0.47   0.641    -.0292402    .0180608
ln_trop~1850 |  -.0166042   .0132101    -1.26   0.211    -.0427407    .0095322
ln_trop~1900 |  -.0257982   .0154663    -1.67   0.098    -.0563986    .0048023
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0146235   .0394415     0.37   0.711    -.0634124    .0926595
ln_rugg~1500 |   .0451544   .0465175     0.97   0.334    -.0468816    .1371904
ln_rugg~1600 |   .0561151    .049275     1.14   0.257    -.0413766    .1536069
ln_rugg~1700 |   .0818323   .0607613     1.35   0.180    -.0383855      .20205
ln_rugg~1750 |   .0834102   .0714929     1.17   0.245    -.0580403    .2248606
ln_rugg~1800 |   .1053483   .0770489     1.37   0.174    -.0470949    .2577914
ln_rugg~1850 |   .1045483   .0817592     1.28   0.203    -.0572143    .2663108
ln_rugg~1900 |   .1677274   .0973971     1.72   0.087    -.0249751      .36043
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |    .282788   .1957321     1.44   0.151    -.1044728    .6700488
 _Iyear_1500 |   .4985937   .2480018     2.01   0.046      .007916    .9892714
 _Iyear_1600 |   .8472094   .2696652     3.14   0.002     .3136701    1.380749
 _Iyear_1700 |   1.260988   .3260549     3.87   0.000     .6158801    1.906095
 _Iyear_1750 |   1.397979   .3559801     3.93   0.000     .6936641    2.102295
 _Iyear_1800 |    1.62504   .3887998     4.18   0.000     .8557897     2.39429
 _Iyear_1850 |   1.857155   .4259837     4.36   0.000     1.014336    2.699974
 _Iyear_1900 |   2.380244   .5275065     4.51   0.000     1.336559    3.423928
       _cons |   12.64235    .032383   390.40   0.000     12.57827    12.70642
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 2
. xi: areg ln_population ln_wpot_post_ver2 `ln_oworld_flexible' `ln_elevation_flexible' `l
> n_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   62.59
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9886
                                                       Root MSE      =  .24696

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_po~2 |   .0385286   .0122973     3.13   0.002     .0141981    .0628591
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0334251   .0097818     3.42   0.001     .0140716    .0527786
ln_owor~1500 |    .058113   .0112225     5.18   0.000     .0359091    .0803169
ln_owor~1600 |   .0682923   .0102909     6.64   0.000     .0479315    .0886531
ln_owor~1700 |   .0787705   .0127483     6.18   0.000     .0535478    .1039932
ln_owor~1750 |   .0526503    .018437     2.86   0.005     .0161723    .0891283
ln_owor~1800 |   .0734755   .0190446     3.86   0.000     .0357952    .1111557
ln_owor~1850 |   .0975014    .019998     4.88   0.000      .057935    .1370679
ln_owor~1900 |   .1300094   .0225422     5.77   0.000     .0854091    .1746097
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0313279   .0335517    -0.93   0.352    -.0977107    .0350549
ln_elev~1500 |  -.0702391   .0418162    -1.68   0.095    -.1529735    .0124954
ln_elev~1600 |  -.1037505    .045177    -2.30   0.023    -.1931342   -.0143668
ln_elev~1700 |  -.1657462   .0552066    -3.00   0.003    -.2749738   -.0565187
ln_elev~1750 |  -.1783661   .0599313    -2.98   0.003    -.2969417   -.0597906
ln_elev~1800 |  -.2102248   .0654757    -3.21   0.002    -.3397702   -.0806794
ln_elev~1850 |  -.2317437   .0723751    -3.20   0.002    -.3749396   -.0885477
ln_elev~1900 |  -.2906496   .0883063    -3.29   0.001    -.4653658   -.1159333
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |    .009981   .0071049     1.40   0.162    -.0040762    .0240382
ln_trop~1500 |   .0041985   .0085776     0.49   0.625    -.0127725    .0211696
ln_trop~1600 |  -.0030758   .0087705    -0.35   0.726    -.0204285    .0142769
ln_trop~1700 |   .0003197   .0105305     0.03   0.976    -.0205151    .0211546
ln_trop~1750 |   .0099593   .0113459     0.88   0.382    -.0124889    .0324075
ln_trop~1800 |  -.0019838   .0124045    -0.16   0.873    -.0265263    .0225587
ln_trop~1850 |  -.0129984   .0135783    -0.96   0.340    -.0398633    .0138666
ln_trop~1900 |  -.0221923   .0157709    -1.41   0.162    -.0533955    .0090109
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0144354   .0394227     0.37   0.715    -.0635634    .0924342
ln_rugg~1500 |   .0449663   .0464918     0.97   0.335     -.047019    .1369515
ln_rugg~1600 |    .055927   .0492689     1.14   0.258    -.0415528    .1534068
ln_rugg~1700 |   .0816441   .0607617     1.34   0.181    -.0385744    .2018626
ln_rugg~1750 |   .0768812   .0713457     1.08   0.283    -.0642779    .2180403
ln_rugg~1800 |   .0988193   .0771017     1.28   0.202    -.0537283    .2513668
ln_rugg~1850 |   .0980193   .0817183     1.20   0.233    -.0636624    .2597009
ln_rugg~1900 |   .1611985   .0972896     1.66   0.100    -.0312914    .3536883
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |   .2832576   .1956641     1.45   0.150    -.1038686    .6703838
 _Iyear_1500 |   .4990633   .2479369     2.01   0.046     .0085141    .9896126
 _Iyear_1600 |    .847679   .2696059     3.14   0.002     .3142572    1.381101
 _Iyear_1700 |   1.261457   .3260016     3.87   0.000      .616455    1.906459
 _Iyear_1750 |   1.420074   .3549557     4.00   0.000     .7177851    2.122362
 _Iyear_1800 |   1.647134   .3885856     4.24   0.000     .8783079     2.41596
 _Iyear_1850 |    1.87925   .4266478     4.40   0.000     1.035116    2.723383
 _Iyear_1900 |   2.402338    .529426     4.54   0.000     1.354856     3.44982
       _cons |    12.6422   .0324079   390.10   0.000     12.57808    12.70632
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 3
. xi: areg ln_population non_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `l
> n_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   58.81
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9900
                                                       Adj R-squared =  0.9886
                                                       Root MSE      =  .24685

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_int_w~st |   .0383564   .0114253     3.36   0.001     .0157511    .0609617
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0334259   .0097782     3.42   0.001     .0140796    .0527723
ln_owor~1500 |   .0581139   .0112247     5.18   0.000     .0359056    .0803221
ln_owor~1600 |   .0682931   .0102918     6.64   0.000     .0479306    .0886557
ln_owor~1700 |   .0787713   .0127489     6.18   0.000     .0535474    .1039953
ln_owor~1750 |   .0533274   .0179108     2.98   0.003     .0178904    .0887644
ln_owor~1800 |   .0741526   .0186039     3.99   0.000     .0373443     .110961
ln_owor~1850 |   .0981786   .0196415     5.00   0.000     .0593174    .1370398
ln_owor~1900 |   .1306865   .0221938     5.89   0.000     .0867755    .1745976
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0313389   .0335459    -0.93   0.352    -.0977102    .0350325
ln_elev~1500 |    -.07025   .0418188    -1.68   0.095    -.1529895    .0124894
ln_elev~1600 |  -.1037614   .0451773    -2.30   0.023    -.1931458    -.014377
ln_elev~1700 |  -.1657572    .055207    -3.00   0.003    -.2749856   -.0565288
ln_elev~1750 |  -.1828022   .0596057    -3.07   0.003    -.3007336   -.0648709
ln_elev~1800 |  -.2146609   .0652155    -3.29   0.001    -.3436913   -.0856305
ln_elev~1850 |  -.2361798   .0721377    -3.27   0.001    -.3789059   -.0934536
ln_elev~1900 |  -.2950856   .0881391    -3.35   0.001    -.4694709   -.1207003
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0099864   .0071022     1.41   0.162    -.0040655    .0240383
ln_trop~1500 |   .0042039   .0085778     0.49   0.625    -.0127675    .0211753
ln_trop~1600 |  -.0030704   .0087684    -0.35   0.727    -.0204189     .014278
ln_trop~1700 |   .0003251   .0105274     0.03   0.975    -.0205036    .0211538
ln_trop~1750 |   .0101122   .0120037     0.84   0.401    -.0136374    .0338618
ln_trop~1800 |  -.0018309   .0131027    -0.14   0.889    -.0277549    .0240931
ln_trop~1850 |  -.0128454   .0143099    -0.90   0.371     -.041158    .0154671
ln_trop~1900 |  -.0220394    .016443    -1.34   0.182    -.0545722    .0104935
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0145186   .0393898     0.37   0.713    -.0634151    .0924524
ln_rugg~1500 |   .0450495   .0464816     0.97   0.334    -.0469155    .1370145
ln_rugg~1600 |   .0560102   .0492499     1.14   0.258    -.0414319    .1534523
ln_rugg~1700 |   .0817274   .0607434     1.35   0.181     -.038455    .2019097
ln_rugg~1750 |   .0799969    .069791     1.15   0.254    -.0580864    .2180802
ln_rugg~1800 |    .101935   .0755089     1.35   0.179    -.0474612    .2513312
ln_rugg~1850 |    .101135   .0800301     1.26   0.209    -.0572066    .2594766
ln_rugg~1900 |   .1643142   .0957575     1.72   0.089    -.0251443    .3537727
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |   .2833041    .195636     1.45   0.150    -.1037665    .6703746
 _Iyear_1500 |   .4991098   .2479512     2.01   0.046     .0085323    .9896874
 _Iyear_1600 |   .8477255   .2696088     3.14   0.002     .3142978    1.381153
 _Iyear_1700 |   1.261504   .3260064     3.87   0.000     .6164922    1.906515
 _Iyear_1750 |   1.440292   .3533085     4.08   0.000     .7412625    2.139322
 _Iyear_1800 |   1.667352    .387215     4.31   0.000     .9012381    2.433467
 _Iyear_1850 |   1.899468   .4253866     4.47   0.000      1.05783    2.741106
 _Iyear_1900 |   2.422556   .5284865     4.58   0.000     1.376933     3.46818
       _cons |   12.64221   .0323346   390.98   0.000     12.57823    12.70618
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 4
. xi: areg ln_population non_ext_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexible
> ' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   62.51
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24759

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_ext_i~st |   .0263168   .0093016     2.83   0.005     .0079133    .0447203
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0334282   .0097754     3.42   0.001     .0140873    .0527691
ln_owor~1500 |   .0581162   .0112329     5.17   0.000     .0358917    .0803406
ln_owor~1600 |   .0682954   .0102984     6.63   0.000     .0479197    .0886711
ln_owor~1700 |   .0787737    .012755     6.18   0.000     .0535375    .1040098
ln_owor~1750 |   .0633705   .0152799     4.15   0.000     .0331389     .093602
ln_owor~1800 |   .0841956   .0160907     5.23   0.000     .0523597    .1160315
ln_owor~1850 |   .1082216     .01708     6.34   0.000     .0744283    .1420149
ln_owor~1900 |   .1407296   .0192567     7.31   0.000     .1026297    .1788294
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0313606   .0335432    -0.93   0.352    -.0977266    .0350054
ln_elev~1500 |  -.0702717   .0418313    -1.68   0.095     -.153036    .0124925
ln_elev~1600 |  -.1037832   .0451863    -2.30   0.023    -.1931854   -.0143809
ln_elev~1700 |  -.1657789   .0552167    -3.00   0.003    -.2750265   -.0565313
ln_elev~1750 |  -.1874101   .0582166    -3.22   0.002    -.3025931    -.072227
ln_elev~1800 |  -.2192688   .0640534    -3.42   0.001    -.3459999   -.0925376
ln_elev~1850 |  -.2407876   .0714072    -3.37   0.001    -.3820685   -.0995068
ln_elev~1900 |  -.2996935   .0878363    -3.41   0.001    -.4734798   -.1259072
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0099957   .0070997     1.41   0.162    -.0040512    .0240425
ln_trop~1500 |   .0042132   .0085798     0.49   0.624    -.0127621    .0211885
ln_trop~1600 |  -.0030612   .0087657    -0.35   0.727    -.0204043     .014282
ln_trop~1700 |   .0003344   .0105236     0.03   0.975    -.0204867    .0211555
ln_trop~1750 |   .0014632   .0122936     0.12   0.905    -.0228599    .0257863
ln_trop~1800 |  -.0104799   .0135708    -0.77   0.441    -.0373301    .0163702
ln_trop~1850 |  -.0214945   .0150789    -1.43   0.156    -.0513284    .0083394
ln_trop~1900 |  -.0306884   .0174249    -1.76   0.081     -.065164    .0037872
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0146728   .0393223     0.37   0.710    -.0631273    .0924729
ln_rugg~1500 |   .0452037   .0464526     0.97   0.332     -.046704    .1371113
ln_rugg~1600 |   .0561644   .0492004     1.14   0.256    -.0411799    .1535087
ln_rugg~1700 |   .0818815   .0606979     1.35   0.180    -.0382107    .2019738
ln_rugg~1750 |   .0847565   .0630504     1.34   0.181    -.0399902    .2095031
ln_rugg~1800 |   .1066946   .0688702     1.55   0.124    -.0295668     .242956
ln_rugg~1850 |   .1058946   .0739528     1.43   0.155    -.0404228     .252212
ln_rugg~1900 |   .1690738    .091276     1.85   0.066    -.0115181    .3496656
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |   .2833985   .1956353     1.45   0.150    -.1036707    .6704677
 _Iyear_1500 |   .4992043   .2480272     2.01   0.046     .0084763    .9899322
 _Iyear_1600 |   .8478199    .269668     3.14   0.002     .3142752    1.381365
 _Iyear_1700 |   1.261598   .3260722     3.87   0.000     .6164562     1.90674
 _Iyear_1750 |    1.46264   .3485389     4.20   0.000     .7730474    2.152233
 _Iyear_1800 |   1.689701   .3843004     4.40   0.000     .9293528    2.450048
 _Iyear_1850 |   1.921816   .4249609     4.52   0.000     1.081021    2.762612
 _Iyear_1900 |   2.444905   .5296672     4.62   0.000     1.396945    3.492864
       _cons |   12.64221   .0324273   389.86   0.000     12.57806    12.70637
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. 
. *** City Population Share ***
. * Baseline
. * Col 1
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.03
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4441
                                                       Adj R-squared =  0.3688
                                                       Root MSE      =  .03868

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0036269   .0011611     3.12   0.002     .0013297    .0059241
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013151   .0011375     1.16   0.250    -.0009354    .0035656
ln_owor~1500 |    .000625   .0009687     0.65   0.520    -.0012916    .0025417
ln_owor~1600 |   .0017471   .0012308     1.42   0.158    -.0006881    .0041823
ln_owor~1700 |   .0022121    .001109     1.99   0.048     .0000178    .0044063
ln_owor~1750 |  -.0014165   .0017433    -0.81   0.418    -.0048657    .0020327
ln_owor~1800 |  -.0008886   .0016687    -0.53   0.595    -.0041902     .002413
ln_owor~1850 |  -.0011536   .0017242    -0.67   0.505    -.0045649    .0022577
ln_owor~1900 |   .0084499   .0025593     3.30   0.001     .0033862    .0135136
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019859   .0046989     0.42   0.673     -.007311    .0112828
ln_elev~1500 |   .0049366   .0047782     1.03   0.303    -.0045171    .0143903
ln_elev~1600 |  -.0016237   .0076557    -0.21   0.832    -.0167708    .0135233
ln_elev~1700 |  -.0045548     .00631    -0.72   0.472    -.0170393    .0079298
ln_elev~1750 |  -.0049402   .0069171    -0.71   0.476    -.0186258    .0087453
ln_elev~1800 |  -.0057942   .0063175    -0.92   0.361    -.0182934    .0067051
ln_elev~1850 |  -.0067614   .0060674    -1.11   0.267     -.018766    .0052432
ln_elev~1900 |  -.0249316   .0089147    -2.80   0.006    -.0425695   -.0072937
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003589   .0011428    -0.31   0.754    -.0026198    .0019021
ln_trop~1500 |   .0002671   .0008219     0.32   0.746     -.001359    .0018931
ln_trop~1600 |   .0009823   .0015664     0.63   0.532    -.0021169    .0040815
ln_trop~1700 |  -.0011923   .0009913    -1.20   0.231    -.0031537    .0007692
ln_trop~1750 |   .0007007   .0011677     0.60   0.550    -.0016097    .0030111
ln_trop~1800 |   .0003621   .0010914     0.33   0.741    -.0017972    .0025214
ln_trop~1850 |   .0006149   .0011311     0.54   0.588    -.0016229    .0028528
ln_trop~1900 |  -.0061801   .0017128    -3.61   0.000    -.0095688   -.0027914
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092067   .0068214    -1.35   0.179     -.022703    .0042895
ln_rugg~1500 |  -.0051998   .0053491    -0.97   0.333    -.0157831    .0053834
ln_rugg~1600 |  -.0007985   .0083459    -0.10   0.924     -.017311     .015714
ln_rugg~1700 |  -.0070481   .0061864    -1.14   0.257     -.019288    .0051918
ln_rugg~1750 |  -.0064152   .0061433    -1.04   0.298    -.0185699    .0057395
ln_rugg~1800 |  -.0059151   .0057743    -1.02   0.308    -.0173397    .0055095
ln_rugg~1850 |  -.0060519   .0056935    -1.06   0.290    -.0173166    .0052128
ln_rugg~1900 |  -.0020558   .0098998    -0.21   0.836    -.0216427    .0175311
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |   -.019356   .0299545    -0.65   0.519    -.0786217    .0399098
 _Iyear_1500 |  -.0348158   .0297443    -1.17   0.244    -.0936656    .0240339
 _Iyear_1600 |  -.0039891   .0423284    -0.09   0.925    -.0877368    .0797585
 _Iyear_1700 |   .0189262   .0390795     0.48   0.629    -.0583935    .0962458
 _Iyear_1750 |   .0255736   .0420897     0.61   0.545    -.0577018     .108849
 _Iyear_1800 |   .0282929   .0387748     0.73   0.467     -.048424    .1050098
 _Iyear_1850 |   .0332241    .037232     0.89   0.374    -.0404404    .1068886
 _Iyear_1900 |   .1434819   .0555175     2.58   0.011     .0336391    .2533248
       _cons |   .0139837   .0037453     3.73   0.000     .0065736    .0213939
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 2
. xi: areg city_pop_share ln_wpot_post_ver2 `ln_oworld_flexible' `ln_elevation_flexible' `
> ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.05
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4424
                                                       Adj R-squared =  0.3668
                                                       Root MSE      =  .03874

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_po~2 |   .0034851   .0010807     3.22   0.002     .0013469    .0056233
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |     .00132   .0011374     1.16   0.248    -.0009304    .0035704
ln_owor~1500 |   .0006299   .0009689     0.65   0.517     -.001287    .0025468
ln_owor~1600 |    .001752   .0012308     1.42   0.157    -.0006832    .0041872
ln_owor~1700 |   .0022169   .0011091     2.00   0.048     .0000226    .0044113
ln_owor~1750 |  -.0015505   .0016082    -0.96   0.337    -.0047324    .0016314
ln_owor~1800 |  -.0010226   .0015683    -0.65   0.516    -.0041255    .0020802
ln_owor~1850 |  -.0012876   .0016917    -0.76   0.448    -.0046346    .0020595
ln_owor~1900 |   .0083159   .0025974     3.20   0.002     .0031768     .013455
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019783   .0046996     0.42   0.674    -.0073199    .0112766
ln_elev~1500 |   .0049291   .0047778     1.03   0.304    -.0045239    .0143821
ln_elev~1600 |  -.0016313   .0076557    -0.21   0.832    -.0167782    .0135156
ln_elev~1700 |  -.0045623   .0063084    -0.72   0.471    -.0170436     .007919
ln_elev~1750 |  -.0056362   .0067502    -0.83   0.405    -.0189916    .0077192
ln_elev~1800 |  -.0064901   .0061935    -1.05   0.297    -.0187441    .0057638
ln_elev~1850 |  -.0074574   .0059764    -1.25   0.214    -.0192818    .0043671
ln_elev~1900 |  -.0256275   .0090575    -2.83   0.005    -.0435481    -.007707
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003639    .001143    -0.32   0.751    -.0026253    .0018975
ln_trop~1500 |    .000262   .0008226     0.32   0.751    -.0013655    .0018896
ln_trop~1600 |   .0009773   .0015668     0.62   0.534    -.0021226    .0040772
ln_trop~1700 |  -.0011973   .0009918    -1.21   0.230    -.0031596     .000765
ln_trop~1750 |   .0007407   .0010098     0.73   0.465    -.0012571    .0027386
ln_trop~1800 |   .0004022   .0009656     0.42   0.678    -.0015084    .0023127
ln_trop~1850 |    .000655    .001033     0.63   0.527    -.0013889    .0026989
ln_trop~1900 |    -.00614   .0017536    -3.50   0.001    -.0096095   -.0026706
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092185   .0068223    -1.35   0.179    -.0227166    .0042796
ln_rugg~1500 |  -.0052116   .0053509    -0.97   0.332    -.0157984    .0053752
ln_rugg~1600 |  -.0008103   .0083472    -0.10   0.923    -.0173254    .0157048
ln_rugg~1700 |  -.0070599   .0061873    -1.14   0.256    -.0193017    .0051819
ln_rugg~1750 |  -.0065723   .0060963    -1.08   0.283    -.0186339    .0054893
ln_rugg~1800 |  -.0060722   .0057449    -1.06   0.293    -.0174386    .0052942
ln_rugg~1850 |   -.006209   .0056963    -1.09   0.278    -.0174793    .0050613
ln_rugg~1900 |  -.0022129   .0101748    -0.22   0.828     -.022344    .0179181
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |  -.0193086   .0299589    -0.64   0.520    -.0785831    .0399658
 _Iyear_1500 |  -.0347685   .0297423    -1.17   0.245    -.0936143    .0240773
 _Iyear_1600 |  -.0039418    .042328    -0.09   0.926    -.0876887    .0798052
 _Iyear_1700 |   .0189735   .0390707     0.49   0.628    -.0583287    .0962758
 _Iyear_1750 |   .0280094   .0414721     0.68   0.501    -.0540442     .110063
 _Iyear_1800 |   .0307287   .0383513     0.80   0.424    -.0451503    .1066077
 _Iyear_1850 |   .0356599   .0369442     0.97   0.336    -.0374352     .108755
 _Iyear_1900 |   .1459177    .056374     2.59   0.011     .0343803    .2574552
       _cons |   .0139705   .0037452     3.73   0.000     .0065606    .0213805
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 3
. xi: areg city_pop_share non_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `
> ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.01
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4427
                                                       Adj R-squared =  0.3672
                                                       Root MSE      =  .03873

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_int_w~st |   .0035218   .0010638     3.31   0.001      .001417    .0056267
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013201   .0011374     1.16   0.248    -.0009302    .0035705
ln_owor~1500 |   .0006301   .0009688     0.65   0.517    -.0012867    .0025469
ln_owor~1600 |   .0017521   .0012308     1.42   0.157    -.0006831    .0041874
ln_owor~1700 |   .0022171    .001109     2.00   0.048     .0000229    .0044113
ln_owor~1750 |  -.0015427   .0015489    -1.00   0.321    -.0046073    .0015219
ln_owor~1800 |  -.0010148   .0015177    -0.67   0.505    -.0040177    .0019881
ln_owor~1850 |  -.0012798    .001644    -0.78   0.438    -.0045324    .0019729
ln_owor~1900 |   .0083237    .002576     3.23   0.002      .003227    .0134204
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019773    .004699     0.42   0.675    -.0073199    .0112745
ln_elev~1500 |    .004928   .0047776     1.03   0.304    -.0045245    .0143806
ln_elev~1600 |  -.0016323   .0076557    -0.21   0.831    -.0167792    .0135146
ln_elev~1700 |  -.0045634   .0063084    -0.72   0.471    -.0170447    .0079179
ln_elev~1750 |  -.0060364   .0067277    -0.90   0.371    -.0193473    .0072744
ln_elev~1800 |  -.0068904   .0061672    -1.12   0.266    -.0190923    .0053115
ln_elev~1850 |  -.0078576    .005946    -1.32   0.189    -.0196219    .0039067
ln_elev~1900 |  -.0260278   .0090203    -2.89   0.005    -.0438747   -.0081808
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003635    .001143    -0.32   0.751    -.0026249    .0018979
ln_trop~1500 |   .0002624   .0008224     0.32   0.750    -.0013648    .0018897
ln_trop~1600 |   .0009777   .0015666     0.62   0.534    -.0021219    .0040773
ln_trop~1700 |  -.0011969   .0009917    -1.21   0.230     -.003159    .0007653
ln_trop~1750 |   .0007781    .001007     0.77   0.441    -.0012142    .0027704
ln_trop~1800 |   .0004395   .0009615     0.46   0.648    -.0014628    .0023418
ln_trop~1850 |   .0006924   .0010283     0.67   0.502    -.0013421    .0027268
ln_trop~1900 |  -.0061027   .0017445    -3.50   0.001    -.0095542   -.0026512
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092114   .0068219    -1.35   0.179    -.0227088    .0042859
ln_rugg~1500 |  -.0052046   .0053502    -0.97   0.332    -.0157902     .005381
ln_rugg~1600 |  -.0008032   .0083467    -0.10   0.923    -.0173174    .0157109
ln_rugg~1700 |  -.0070528   .0061869    -1.14   0.256    -.0192937     .005188
ln_rugg~1750 |   -.006323   .0060617    -1.04   0.299    -.0183162    .0056703
ln_rugg~1800 |  -.0058228   .0057058    -1.02   0.309    -.0171118    .0054662
ln_rugg~1850 |  -.0059597   .0056611    -1.05   0.294    -.0171603    .0052409
ln_rugg~1900 |  -.0019636   .0101127    -0.19   0.846    -.0219719    .0180447
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |   -.019304   .0299562    -0.64   0.520     -.078573     .039965
 _Iyear_1500 |  -.0347639   .0297411    -1.17   0.245    -.0936073    .0240795
 _Iyear_1600 |  -.0039372   .0423278    -0.09   0.926    -.0876839    .0798095
 _Iyear_1700 |   .0189781   .0390707     0.49   0.628    -.0583242    .0962805
 _Iyear_1750 |   .0298679   .0413581     0.72   0.471    -.0519601    .1116959
 _Iyear_1800 |   .0325872   .0382206     0.85   0.395    -.0430332    .1082075
 _Iyear_1850 |   .0375184   .0368077     1.02   0.310    -.0353066    .1103433
 _Iyear_1900 |   .1477762    .056216     2.63   0.010     .0365516    .2590009
       _cons |   .0139709   .0037463     3.73   0.000     .0065587     .021383
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 4
. xi: areg city_pop_share non_ext_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexibl
> e' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.06
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4402
                                                       Adj R-squared =  0.3643
                                                       Root MSE      =  .03882

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_ext_i~st |   .0020086   .0008996     2.23   0.027     .0002288    .0037885
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013197   .0011371     1.16   0.248    -.0009302    .0035695
ln_owor~1500 |   .0006296   .0009685     0.65   0.517    -.0012867    .0025459
ln_owor~1600 |   .0017516   .0012304     1.42   0.157    -.0006827     .004186
ln_owor~1700 |   .0022166   .0011087     2.00   0.048     .0000229    .0044103
ln_owor~1750 |  -.0001691   .0014241    -0.12   0.906    -.0029866    .0026484
ln_owor~1800 |   .0003588   .0013938     0.26   0.797    -.0023988    .0031164
ln_owor~1850 |   .0000938   .0015556     0.06   0.952    -.0029839    .0031716
ln_owor~1900 |   .0096973   .0026289     3.69   0.000      .004496    .0148987
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019762   .0046978     0.42   0.675    -.0073186    .0112709
ln_elev~1500 |   .0049269   .0047769     1.03   0.304    -.0045244    .0143782
ln_elev~1600 |  -.0016334   .0076547    -0.21   0.831    -.0167785    .0135117
ln_elev~1700 |  -.0045645   .0063087    -0.72   0.471    -.0170465    .0079175
ln_elev~1750 |  -.0063997   .0067136    -0.95   0.342    -.0196828    .0068834
ln_elev~1800 |  -.0072536   .0061715    -1.18   0.242     -.019464    .0049567
ln_elev~1850 |  -.0082208   .0059706    -1.38   0.171    -.0200339    .0035922
ln_elev~1900 |   -.026391   .0091774    -2.88   0.005    -.0445488   -.0082333
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003618   .0011429    -0.32   0.752    -.0026231    .0018994
ln_trop~1500 |   .0002641   .0008226     0.32   0.749    -.0013635    .0018917
ln_trop~1600 |   .0009794   .0015672     0.62   0.533    -.0021214    .0040801
ln_trop~1700 |  -.0011952   .0009919    -1.20   0.230    -.0031578    .0007673
ln_trop~1750 |  -.0001491   .0009229    -0.16   0.872    -.0019751     .001677
ln_trop~1800 |  -.0004876   .0008963    -0.54   0.587    -.0022611    .0012858
ln_trop~1850 |  -.0002348   .0009733    -0.24   0.810    -.0021605    .0016909
ln_trop~1900 |  -.0070299   .0017194    -4.09   0.000    -.0104317    -.003628
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0091942   .0068218    -1.35   0.180    -.0226913    .0043028
ln_rugg~1500 |  -.0051874   .0053504    -0.97   0.334    -.0157733    .0053985
ln_rugg~1600 |   -.000786   .0083486    -0.09   0.925    -.0173039    .0157318
ln_rugg~1700 |  -.0070356   .0061872    -1.14   0.258    -.0192771    .0052059
ln_rugg~1750 |  -.0055905   .0060979    -0.92   0.361    -.0176553    .0064744
ln_rugg~1800 |  -.0050903   .0057495    -0.89   0.378    -.0164659    .0062852
ln_rugg~1850 |  -.0052272    .005741    -0.91   0.364    -.0165858    .0061314
ln_rugg~1900 |  -.0012311   .0103216    -0.12   0.905    -.0216526    .0191904
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |  -.0193012   .0299494    -0.64   0.520    -.0785569    .0399544
 _Iyear_1500 |  -.0347611   .0297378    -1.17   0.245    -.0935981    .0240758
 _Iyear_1600 |  -.0039344   .0423225    -0.09   0.926    -.0876706    .0798017
 _Iyear_1700 |   .0189809   .0390729     0.49   0.628    -.0583259    .0962877
 _Iyear_1750 |   .0312371   .0413612     0.76   0.451     -.050597    .1130713
 _Iyear_1800 |   .0339564   .0383125     0.89   0.377    -.0418457    .1097586
 _Iyear_1850 |   .0388876   .0369698     1.05   0.295     -.034258    .1120333
 _Iyear_1900 |   .1491455   .0572277     2.61   0.010     .0359192    .2623718
       _cons |   .0139736   .0037416     3.73   0.000     .0065708    .0213765
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. restore

. 
. ******************************
. *** Post = 1800+ - (Row 2) ***
. ******************************
. preserve

. drop post ln_wpot_post

. gen post=0 if missing(year)!=1

. replace post=1 if year>1750 & missing(year)!=1
(390 real changes made)

. gen ln_wpot_post=ln_wpot*post

. gen ln_wpot_post_ver2=ln_wpot_ver2*post

. gen ln_wpot_post_ver3=ln_wpot_ver3*post

. for @ in any non_int_wpot non_ext_int_wpot: gen @_post=@*post

->  gen non_int_wpot_post=non_int_wpot*post

->  gen non_ext_int_wpot_post=non_ext_int_wpot*post

. 
. *** Total Population ***
. * Col 1
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   58.96
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9900
                                                       Adj R-squared =  0.9886
                                                       Root MSE      =  .24685

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0385041   .0123912     3.11   0.002     .0139877    .0630204
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0333748   .0097887     3.41   0.001     .0140075    .0527421
ln_owor~1500 |   .0580627   .0112335     5.17   0.000     .0358369    .0802885
ln_owor~1600 |    .068242   .0102984     6.63   0.000     .0478664    .0886176
ln_owor~1700 |   .0787202   .0127531     6.17   0.000     .0534879    .1039525
ln_owor~1750 |   .0925011   .0133031     6.95   0.000     .0661806    .1188216
ln_owor~1800 |   .0764845    .019378     3.95   0.000     .0381447    .1148243
ln_owor~1850 |   .1005105   .0201605     4.99   0.000     .0606224    .1403985
ln_owor~1900 |   .1330184   .0224189     5.93   0.000      .088662    .1773748
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0312611   .0335603    -0.93   0.353     -.097661    .0351388
ln_elev~1500 |  -.0701723   .0418282    -1.68   0.096    -.1529304    .0125859
ln_elev~1600 |  -.1036837   .0451866    -2.29   0.023    -.1930865   -.0142809
ln_elev~1700 |  -.1656794   .0552144    -3.00   0.003    -.2749224   -.0564365
ln_elev~1750 |  -.1835052   .0580361    -3.16   0.002     -.298331   -.0686795
ln_elev~1800 |  -.2030564   .0664048    -3.06   0.003      -.33444   -.0716729
ln_elev~1850 |  -.2245753   .0730456    -3.07   0.003    -.3690977   -.0800529
ln_elev~1900 |  -.2834812   .0887159    -3.20   0.002    -.4590077   -.1079547
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0100396   .0071163     1.41   0.161      -.00404    .0241193
ln_trop~1500 |   .0042572   .0085913     0.50   0.621    -.0127408    .0212552
ln_trop~1600 |  -.0030172   .0087745    -0.34   0.732    -.0203777    .0143434
ln_trop~1700 |   .0003784   .0105301     0.04   0.971    -.0204557    .0212124
ln_trop~1750 |  -.0071295    .011461    -0.62   0.535    -.0298054    .0155463
ln_trop~1800 |  -.0030851   .0117643    -0.26   0.794     -.026361    .0201908
ln_trop~1850 |  -.0140996   .0131397    -1.07   0.285    -.0400968    .0118976
ln_trop~1900 |  -.0232936   .0155621    -1.50   0.137    -.0540836    .0074965
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0146508   .0394262     0.37   0.711    -.0633549    .0926565
ln_rugg~1500 |   .0451817   .0465094     0.97   0.333    -.0468384    .1372018
ln_rugg~1600 |   .0561424   .0492634     1.14   0.257    -.0413263    .1536112
ln_rugg~1700 |   .0818596   .0607502     1.35   0.180    -.0383363    .2020554
ln_rugg~1750 |   .1036091    .065015     1.59   0.113    -.0250246    .2322428
ln_rugg~1800 |   .1016302   .0773489     1.31   0.191    -.0514066    .2546669
ln_rugg~1850 |   .1008302   .0821164     1.23   0.222    -.0616391    .2632994
ln_rugg~1900 |   .1640093   .0979273     1.67   0.096    -.0297422    .3577608
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |   .2828134   .1957166     1.45   0.151    -.1044167    .6700435
 _Iyear_1500 |   .4986192   .2480013     2.01   0.046     .0079424    .9892959
 _Iyear_1600 |   .8472348   .2696599     3.14   0.002     .3137062    1.380764
 _Iyear_1700 |   1.261013    .326051     3.87   0.000     .6159132    1.906113
 _Iyear_1750 |   1.418371   .3444226     4.12   0.000     .7369227     2.09982
 _Iyear_1800 |   1.621284   .3908132     4.15   0.000     .8480501    2.394517
 _Iyear_1850 |   1.853399   .4270007     4.34   0.000     1.008568    2.698231
 _Iyear_1900 |   2.376488   .5279939     4.50   0.000     1.331839    3.421136
       _cons |   12.64234   .0324243   389.90   0.000     12.57819     12.7065
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 2
. xi: areg ln_population ln_wpot_post_ver2 `ln_oworld_flexible' `ln_elevation_flexible' `l
> n_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   56.97
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9900
                                                       Adj R-squared =  0.9886
                                                       Root MSE      =  .24634

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_po~2 |   .0454783   .0131057     3.47   0.001     .0195483    .0714082
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0334204   .0097816     3.42   0.001     .0140674    .0527735
ln_owor~1500 |   .0581084   .0112247     5.18   0.000     .0359001    .0803167
ln_owor~1600 |   .0682876   .0102923     6.63   0.000     .0479241    .0886511
ln_owor~1700 |   .0787659   .0127493     6.18   0.000     .0535411    .1039907
ln_owor~1750 |   .0925468   .0133017     6.96   0.000     .0662289    .1188646
ln_owor~1800 |   .0662736    .019985     3.32   0.001     .0267329    .1058143
ln_owor~1850 |   .0902996   .0207044     4.36   0.000     .0493354    .1312637
ln_owor~1900 |   .1228075   .0228815     5.37   0.000      .077536    .1680791
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0313251    .033551    -0.93   0.352    -.0977066    .0350563
ln_elev~1500 |  -.0702363   .0418187    -1.68   0.095    -.1529756     .012503
ln_elev~1600 |  -.1037477   .0451785    -2.30   0.023    -.1931344    -.014361
ln_elev~1700 |  -.1657435    .055208    -3.00   0.003    -.2749738   -.0565131
ln_elev~1750 |  -.1835693    .058034    -3.16   0.002     -.298391   -.0687476
ln_elev~1800 |   -.209283   .0657978    -3.18   0.002    -.3394655   -.0791005
ln_elev~1850 |  -.2308019   .0725735    -3.18   0.002    -.3743904   -.0872134
ln_elev~1900 |  -.2897078   .0884467    -3.28   0.001    -.4647018   -.1147138
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0099886   .0071068     1.41   0.162    -.0040724    .0240496
ln_trop~1500 |   .0042062   .0085808     0.49   0.625    -.0127711    .0211834
ln_trop~1600 |  -.0030682   .0087719    -0.35   0.727    -.0204236    .0142872
ln_trop~1700 |   .0003273   .0105311     0.03   0.975    -.0205087    .0211634
ln_trop~1750 |  -.0071806   .0114664    -0.63   0.532    -.0298671    .0155059
ln_trop~1800 |   .0011168   .0122432     0.09   0.927    -.0231068    .0253404
ln_trop~1850 |  -.0098978   .0135527    -0.73   0.467     -.036712    .0169165
ln_trop~1900 |  -.0190917   .0159433    -1.20   0.233    -.0506359    .0124525
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0144853   .0394043     0.37   0.714    -.0634771    .0924476
ln_rugg~1500 |   .0450161   .0464812     0.97   0.335    -.0469481    .1369803
ln_rugg~1600 |   .0559768   .0492516     1.14   0.258    -.0414687    .1534224
ln_rugg~1700 |    .081694   .0607444     1.34   0.181    -.0384903    .2018783
ln_rugg~1750 |   .1034435   .0650179     1.59   0.114    -.0251959    .2320829
ln_rugg~1800 |   .0940869   .0770783     1.22   0.224    -.0584144    .2465882
ln_rugg~1850 |   .0932869   .0818805     1.14   0.257    -.0687157    .2552895
ln_rugg~1900 |   .1564661   .0978238     1.60   0.112    -.0370807    .3500128
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |   .2832301   .1956648     1.45   0.150    -.1038976    .6703577
 _Iyear_1500 |   .4990358    .247953     2.01   0.046     .0084547    .9896169
 _Iyear_1600 |   .8476515   .2696176     3.14   0.002     .3142064    1.381097
 _Iyear_1700 |    1.26143   .3260139     3.87   0.000     .6164033    1.906456
 _Iyear_1750 |   1.418788   .3444122     4.12   0.000     .7373599    2.100216
 _Iyear_1800 |   1.647333    .391288     4.21   0.000     .8731605    2.421506
 _Iyear_1850 |   1.879449   .4282741     4.39   0.000     1.032098      2.7268
 _Iyear_1900 |   2.402537   .5303345     4.53   0.000     1.353258    3.451817
       _cons |   12.64222   .0324461   389.64   0.000     12.57802    12.70641
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 3
. xi: areg ln_population non_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `l
> n_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   55.63
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9900
                                                       Adj R-squared =  0.9886
                                                       Root MSE      =  .24634

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_int_w~st |   .0445911   .0121138     3.68   0.000     .0206236    .0685586
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0334206   .0097785     3.42   0.001     .0140737    .0527676
ln_owor~1500 |   .0581086   .0112269     5.18   0.000     .0358958    .0803213
ln_owor~1600 |   .0682878   .0102933     6.63   0.000     .0479223    .0886534
ln_owor~1700 |    .078766     .01275     6.18   0.000     .0535398    .1039923
ln_owor~1750 |   .0925469   .0133021     6.96   0.000     .0662284    .1188655
ln_owor~1800 |   .0677714   .0193943     3.49   0.001     .0293993    .1061436
ln_owor~1850 |   .0917974    .020196     4.55   0.000     .0518391    .1317558
ln_owor~1900 |   .1243054   .0224045     5.55   0.000     .0799775    .1686333
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0313344   .0335458    -0.93   0.352    -.0977056    .0350369
ln_elev~1500 |  -.0702455   .0418212    -1.68   0.095    -.1529898    .0124987
ln_elev~1600 |  -.1037569    .045179    -2.30   0.023    -.1931447   -.0143692
ln_elev~1700 |  -.1657527   .0552086    -3.00   0.003    -.2749842   -.0565212
ln_elev~1750 |  -.1835785   .0580337    -3.16   0.002    -.2983996   -.0687574
ln_elev~1800 |  -.2145295   .0655796    -3.27   0.001    -.3442803   -.0847786
ln_elev~1850 |  -.2360483   .0723493    -3.26   0.001    -.3791932   -.0929035
ln_elev~1900 |  -.2949542   .0882404    -3.34   0.001    -.4695401   -.1203683
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0099942   .0071051     1.41   0.162    -.0040635    .0240518
ln_trop~1500 |   .0042117   .0085817     0.49   0.624    -.0127673    .0211908
ln_trop~1600 |  -.0030626   .0087706    -0.35   0.728    -.0204156    .0142903
ln_trop~1700 |   .0003329   .0105289     0.03   0.975    -.0204989    .0211647
ln_trop~1750 |   -.007175   .0114632    -0.63   0.532    -.0298552    .0155052
ln_trop~1800 |   .0009882   .0128863     0.08   0.939    -.0245076     .026484
ln_trop~1850 |  -.0100264   .0142272    -0.70   0.482    -.0381752    .0181224
ln_trop~1900 |  -.0192203    .016561    -1.16   0.248    -.0519867    .0135461
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0145637   .0393788     0.37   0.712    -.0633482    .0924756
ln_rugg~1500 |   .0450945   .0464768     0.97   0.334     -.046861      .13705
ln_rugg~1600 |   .0560553   .0492395     1.14   0.257    -.0413663    .1534768
ln_rugg~1700 |   .0817724   .0607328     1.35   0.181    -.0383889    .2019337
ln_rugg~1750 |   .1035219   .0650031     1.59   0.114    -.0250883    .2321322
ln_rugg~1800 |   .0981634   .0754582     1.30   0.196    -.0511326    .2474594
ln_rugg~1850 |   .0973634   .0801212     1.22   0.227    -.0611584    .2558851
ln_rugg~1900 |   .1605426   .0961695     1.67   0.097    -.0297311    .3508162
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |   .2832674   .1956398     1.45   0.150    -.1038107    .6703455
 _Iyear_1500 |   .4990731   .2479668     2.01   0.046     .0084649    .9896814
 _Iyear_1600 |   .8476888    .269621     3.14   0.002     .3142371    1.381141
 _Iyear_1700 |   1.261467   .3260189     3.87   0.000     .6164307    1.906503
 _Iyear_1750 |   1.418825   .3444117     4.12   0.000     .7373982    2.100252
 _Iyear_1800 |   1.670799   .3899773     4.28   0.000     .8992194    2.442379
 _Iyear_1850 |   1.902915   .4269186     4.46   0.000     1.058246    2.747584
 _Iyear_1900 |   2.426003   .5290061     4.59   0.000     1.379351    3.472655
       _cons |   12.64222   .0323868   390.35   0.000     12.57815     12.7063
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 4
. xi: areg ln_population non_ext_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexible
> ' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   54.51
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24749

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_ext_i~st |    .029157   .0099616     2.93   0.004     .0094477    .0488662
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0334209   .0097764     3.42   0.001      .014078    .0527637
ln_owor~1500 |   .0581088   .0112346     5.17   0.000     .0358809    .0803366
ln_owor~1600 |   .0682881   .0102993     6.63   0.000     .0479106    .0886655
ln_owor~1700 |   .0787663   .0127555     6.18   0.000     .0535291    .1040034
ln_owor~1750 |   .0925472   .0133071     6.95   0.000     .0662188    .1188755
ln_owor~1800 |   .0810386   .0166942     4.85   0.000     .0480088    .1140685
ln_owor~1850 |   .1050646     .01751     6.00   0.000     .0704207    .1397086
ln_owor~1900 |   .1375726   .0194383     7.08   0.000     .0991135    .1760317
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |   -.031351   .0335434    -0.93   0.352    -.0977173    .0350154
ln_elev~1500 |  -.0702621    .041832    -1.68   0.095    -.1530279    .0125036
ln_elev~1600 |  -.1037735   .0451865    -2.30   0.023    -.1931761    -.014371
ln_elev~1700 |  -.1657693   .0552166    -3.00   0.003    -.2750167   -.0565219
ln_elev~1750 |  -.1835951     .05804    -3.16   0.002    -.2984286   -.0687616
ln_elev~1800 |  -.2196698   .0641739    -3.42   0.001    -.3466394   -.0927003
ln_elev~1850 |  -.2411887   .0714263    -3.38   0.001    -.3825073   -.0998701
ln_elev~1900 |  -.3000946   .0877684    -3.42   0.001    -.4737465   -.1264426
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0100044   .0071037     1.41   0.161    -.0040505    .0240592
ln_trop~1500 |   .0042219   .0085843     0.49   0.624    -.0127622    .0212061
ln_trop~1600 |  -.0030524    .008769    -0.35   0.728    -.0204022    .0142973
ln_trop~1700 |   .0003431   .0105262     0.03   0.974    -.0204832    .0211694
ln_trop~1750 |  -.0071648   .0114588    -0.63   0.533    -.0298363    .0155067
ln_trop~1800 |  -.0095391    .013496    -0.71   0.481    -.0362413    .0171631
ln_trop~1850 |  -.0205537    .015044    -1.37   0.174    -.0503185    .0092112
ln_trop~1900 |  -.0297476   .0174536    -1.70   0.091      -.06428    .0047848
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0147062   .0393259     0.37   0.709    -.0631011    .0925134
ln_rugg~1500 |    .045237   .0464589     0.97   0.332     -.046683    .1371571
ln_rugg~1600 |   .0561978   .0492049     1.14   0.256    -.0411553    .1535509
ln_rugg~1700 |   .0819149   .0607009     1.35   0.180    -.0381834    .2020132
ln_rugg~1750 |   .1036644   .0649667     1.60   0.113    -.0248737    .2322026
ln_rugg~1800 |   .1046909   .0684853     1.53   0.129    -.0308089    .2401908
ln_rugg~1850 |   .1038909   .0737676     1.41   0.161    -.0420602     .249842
ln_rugg~1900 |   .1670701   .0914577     1.83   0.070    -.0138813    .3480215
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |   .2833341   .1956373     1.45   0.150    -.1037392    .6704074
 _Iyear_1500 |   .4991399   .2480314     2.01   0.046     .0084037     .989876
 _Iyear_1600 |   .8477555   .2696691     3.14   0.002     .3142086    1.381302
 _Iyear_1700 |   1.261534   .3260729     3.87   0.000     .6163905    1.906677
 _Iyear_1750 |   1.418892    .344455     4.12   0.000     .7373793    2.100405
 _Iyear_1800 |   1.694351   .3855564     4.39   0.000     .9315179    2.457183
 _Iyear_1850 |   1.926466   .4253193     4.53   0.000     1.084962    2.767971
 _Iyear_1900 |   2.449555    .529143     4.63   0.000     1.402632    3.496477
       _cons |   12.64224   .0324833   389.19   0.000     12.57797    12.70651
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. 
. *** City Population Share ***
. * Col 1
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    2.81
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4459
                                                       Adj R-squared =  0.3708
                                                       Root MSE      =  .03862

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0044353   .0012316     3.60   0.000     .0019985    .0068721
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013152   .0011374     1.16   0.250    -.0009353    .0035656
ln_owor~1500 |   .0006251   .0009687     0.65   0.520    -.0012914    .0025417
ln_owor~1600 |   .0017472   .0012308     1.42   0.158     -.000688    .0041824
ln_owor~1700 |   .0022122    .001109     1.99   0.048      .000018    .0044063
ln_owor~1750 |   .0020539   .0011207     1.83   0.069    -.0001634    .0042713
ln_owor~1800 |   -.001662   .0016585    -1.00   0.318    -.0049433    .0016193
ln_owor~1850 |   -.001927   .0016995    -1.13   0.259    -.0052894    .0014354
ln_owor~1900 |   .0076765   .0024868     3.09   0.002     .0027563    .0125968
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019854   .0046987     0.42   0.673    -.0073111    .0112819
ln_elev~1500 |   .0049362   .0047781     1.03   0.304    -.0045175    .0143898
ln_elev~1600 |  -.0016242   .0076558    -0.21   0.832    -.0167713    .0135229
ln_elev~1700 |  -.0045552   .0063099    -0.72   0.472    -.0170396    .0079292
ln_elev~1750 |     -.0061   .0068258    -0.89   0.373     -.019605    .0074051
ln_elev~1800 |  -.0055362   .0063083    -0.88   0.382    -.0180174    .0069449
ln_elev~1850 |  -.0065034   .0060494    -1.08   0.284    -.0184723    .0054654
ln_elev~1900 |  -.0246736   .0088387    -2.79   0.006    -.0421611   -.0071861
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003588   .0011428    -0.31   0.754    -.0026198    .0019022
ln_trop~1500 |   .0002671   .0008218     0.33   0.746    -.0013589    .0018932
ln_trop~1600 |   .0009824   .0015664     0.63   0.532    -.0021168    .0040816
ln_trop~1700 |  -.0011922   .0009914    -1.20   0.231    -.0031536    .0007693
ln_trop~1750 |  -.0008052   .0010042    -0.80   0.424    -.0027921    .0011816
ln_trop~1800 |   .0006978   .0010716     0.65   0.516    -.0014223     .002818
ln_trop~1850 |   .0009507   .0011067     0.86   0.392     -.001239    .0031404
ln_trop~1900 |  -.0058444   .0017139    -3.41   0.001    -.0092353   -.0024534
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092044   .0068215    -1.35   0.180    -.0227009    .0042921
ln_rugg~1500 |  -.0051976   .0053491    -0.97   0.333    -.0157808    .0053857
ln_rugg~1600 |  -.0007962   .0083463    -0.10   0.924    -.0173095     .015717
ln_rugg~1700 |  -.0070458   .0061863    -1.14   0.257    -.0192855    .0051939
ln_rugg~1750 |    -.00416   .0059732    -0.70   0.487    -.0159782    .0076581
ln_rugg~1800 |  -.0064149   .0057882    -1.11   0.270    -.0178671    .0050372
ln_rugg~1850 |  -.0065518   .0057037    -1.15   0.253    -.0178368    .0047331
ln_rugg~1900 |  -.0025557   .0098926    -0.26   0.797    -.0221285    .0170171
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |  -.0193538   .0299537    -0.65   0.519    -.0786179    .0399102
 _Iyear_1500 |  -.0348137    .029744    -1.17   0.244     -.093663    .0240356
 _Iyear_1600 |   -.003987   .0423284    -0.09   0.925    -.0877348    .0797607
 _Iyear_1700 |   .0189283   .0390791     0.48   0.629    -.0583908    .0962473
 _Iyear_1750 |   .0278504   .0419741     0.66   0.508    -.0551965    .1108972
 _Iyear_1800 |    .027788   .0388389     0.72   0.476    -.0490556    .1046317
 _Iyear_1850 |   .0327192   .0372604     0.88   0.382    -.0410014    .1064399
 _Iyear_1900 |   .1429771   .0550202     2.60   0.010     .0341183    .2518359
       _cons |   .0139837    .003746     3.73   0.000     .0065721    .0213952
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 2
. xi: areg city_pop_share ln_wpot_post_ver2 `ln_oworld_flexible' `ln_elevation_flexible' `
> ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    2.75
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4429
                                                       Adj R-squared =  0.3674
                                                       Root MSE      =  .03872

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_po~2 |   .0039738     .00131     3.03   0.003     .0013819    .0065656
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013195   .0011375     1.16   0.248     -.000931    .0035699
ln_owor~1500 |   .0006294   .0009688     0.65   0.517    -.0012874    .0025462
ln_owor~1600 |   .0017514   .0012308     1.42   0.157    -.0006838    .0041867
ln_owor~1700 |   .0022164    .001109     2.00   0.048     .0000222    .0044106
ln_owor~1750 |   .0020582   .0011206     1.84   0.069     -.000159    .0042754
ln_owor~1800 |  -.0015292   .0017512    -0.87   0.384    -.0049941    .0019356
ln_owor~1850 |  -.0017942   .0018442    -0.97   0.332    -.0054429    .0018545
ln_owor~1900 |   .0078093    .002631     2.97   0.004     .0026039    .0130147
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019786   .0046993     0.42   0.674    -.0073191    .0112763
ln_elev~1500 |   .0049294   .0047778     1.03   0.304    -.0045237    .0143824
ln_elev~1600 |   -.001631   .0076557    -0.21   0.832    -.0167779     .013516
ln_elev~1700 |   -.004562   .0063087    -0.72   0.471    -.0170438    .0079198
ln_elev~1750 |  -.0061068   .0068243    -0.89   0.373    -.0196089    .0073954
ln_elev~1800 |  -.0064238   .0061902    -1.04   0.301    -.0186713    .0058237
ln_elev~1850 |   -.007391   .0059669    -1.24   0.218    -.0191967    .0044147
ln_elev~1900 |  -.0255612   .0090361    -2.83   0.005    -.0434393   -.0076831
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |   -.000363    .001143    -0.32   0.751    -.0026244    .0018984
ln_trop~1500 |   .0002629   .0008224     0.32   0.750    -.0013643    .0018901
ln_trop~1600 |   .0009782   .0015667     0.62   0.534    -.0021217     .004078
ln_trop~1700 |  -.0011964   .0009917    -1.21   0.230    -.0031585    .0007657
ln_trop~1750 |  -.0008095   .0010045    -0.81   0.422    -.0027969     .001178
ln_trop~1800 |   .0006205    .001018     0.61   0.543    -.0013935    .0026346
ln_trop~1850 |   .0008734   .0010758     0.81   0.418    -.0012552    .0030019
ln_trop~1900 |  -.0059217   .0018124    -3.27   0.001    -.0095076   -.0023358
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092128   .0068219    -1.35   0.179    -.0227101    .0042845
ln_rugg~1500 |  -.0052059   .0053502    -0.97   0.332    -.0157914    .0053796
ln_rugg~1600 |  -.0008046   .0083471    -0.10   0.923    -.0173196    .0157104
ln_rugg~1700 |  -.0070542    .006187    -1.14   0.256    -.0192952    .0051869
ln_rugg~1750 |  -.0041684   .0059738    -0.70   0.487    -.0159877    .0076508
ln_rugg~1800 |  -.0064027   .0057479    -1.11   0.267    -.0177751    .0049697
ln_rugg~1850 |  -.0065396   .0056909    -1.15   0.253    -.0177992    .0047201
ln_rugg~1900 |  -.0025435   .0102634    -0.25   0.805      -.02285     .017763
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |  -.0193118   .0299576    -0.64   0.520    -.0785836    .0399601
 _Iyear_1500 |  -.0347716   .0297425    -1.17   0.245     -.093618    .0240747
 _Iyear_1600 |  -.0039449   .0423281    -0.09   0.926    -.0876922    .0798024
 _Iyear_1700 |   .0189704   .0390722     0.49   0.628     -.058335    .0962758
 _Iyear_1750 |   .0278924   .0419663     0.66   0.507    -.0551389    .1109238
 _Iyear_1800 |   .0307415     .03835     0.80   0.424    -.0451349    .1066179
 _Iyear_1850 |   .0356727   .0369324     0.97   0.336     -.037399    .1087444
 _Iyear_1900 |   .1459306   .0561604     2.60   0.010     .0348158    .2570453
       _cons |   .0139724    .003747     3.73   0.000     .0065589    .0213859
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 3
. xi: areg city_pop_share non_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `
> ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    2.75
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4431
                                                       Adj R-squared =  0.3677
                                                       Root MSE      =  .03871

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_int_w~st |   .0039806    .001279     3.11   0.002       .00145    .0065112
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013195   .0011374     1.16   0.248    -.0009308    .0035699
ln_owor~1500 |   .0006295   .0009687     0.65   0.517    -.0012872    .0025462
ln_owor~1600 |   .0017515   .0012308     1.42   0.157    -.0006837    .0041867
ln_owor~1700 |   .0022165   .0011089     2.00   0.048     .0000225    .0044105
ln_owor~1750 |   .0020583   .0011205     1.84   0.069    -.0001587    .0042753
ln_owor~1800 |  -.0014846   .0016912    -0.88   0.382    -.0048307    .0018616
ln_owor~1850 |  -.0017495   .0017898    -0.98   0.330    -.0052906    .0017916
ln_owor~1900 |    .007854    .002601     3.02   0.003     .0027079        .013
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019778   .0046989     0.42   0.675    -.0073191    .0112746
ln_elev~1500 |   .0049285   .0047776     1.03   0.304    -.0045242    .0143812
ln_elev~1600 |  -.0016318   .0076557    -0.21   0.832    -.0167788    .0135151
ln_elev~1700 |  -.0045629   .0063087    -0.72   0.471    -.0170447     .007919
ln_elev~1750 |  -.0061076   .0068243    -0.89   0.372    -.0196097    .0073945
ln_elev~1800 |  -.0068805   .0061633    -1.12   0.266    -.0190749    .0053138
ln_elev~1850 |  -.0078478    .005938    -1.32   0.189    -.0195963    .0039007
ln_elev~1900 |  -.0260179   .0089911    -2.89   0.004     -.043807   -.0082288
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003626    .001143    -0.32   0.752     -.002624    .0018987
ln_trop~1500 |   .0002633   .0008223     0.32   0.749    -.0013636    .0018902
ln_trop~1600 |   .0009786   .0015666     0.62   0.533     -.002121    .0040781
ln_trop~1700 |   -.001196   .0009916    -1.21   0.230     -.003158     .000766
ln_trop~1750 |  -.0008091   .0010044    -0.81   0.422    -.0027964    .0011782
ln_trop~1800 |   .0006472    .001011     0.64   0.523    -.0013531    .0026475
ln_trop~1850 |   .0009001   .0010717     0.84   0.403    -.0012203    .0030205
ln_trop~1900 |   -.005895   .0018017    -3.27   0.001    -.0094598   -.0023302
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092065   .0068216    -1.35   0.180    -.0227032    .0042901
ln_rugg~1500 |  -.0051997   .0053497    -0.97   0.333    -.0157841    .0053848
ln_rugg~1600 |  -.0007983   .0083467    -0.10   0.924    -.0173125    .0157158
ln_rugg~1700 |  -.0070479   .0061866    -1.14   0.257    -.0192882    .0051924
ln_rugg~1750 |  -.0041621   .0059733    -0.70   0.487    -.0159804    .0076561
ln_rugg~1800 |  -.0060988   .0057056    -1.07   0.287    -.0173875      .00519
ln_rugg~1850 |  -.0062356   .0056509    -1.10   0.272    -.0174161    .0049448
ln_rugg~1900 |  -.0022395   .0101828    -0.22   0.826    -.0223864    .0179074
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |   -.019308   .0299553    -0.64   0.520    -.0785753    .0399593
 _Iyear_1500 |  -.0347679   .0297416    -1.17   0.245    -.0936124    .0240766
 _Iyear_1600 |  -.0039412   .0423281    -0.09   0.926    -.0876883     .079806
 _Iyear_1700 |   .0189741   .0390723     0.49   0.628    -.0583315    .0962797
 _Iyear_1750 |   .0278962   .0419663     0.66   0.507    -.0551351    .1109274
 _Iyear_1800 |   .0328395   .0382161     0.86   0.392    -.0427719    .1084509
 _Iyear_1850 |   .0377707   .0368023     1.03   0.307    -.0350437     .110585
 _Iyear_1900 |   .1480285    .055968     2.64   0.009     .0372944    .2587627
       _cons |   .0139728   .0037479     3.73   0.000     .0065574    .0213881
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 4
. xi: areg city_pop_share non_ext_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexibl
> e' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    2.90
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4397
                                                       Adj R-squared =  0.3639
                                                       Root MSE      =  .03883

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_ext_i~st |   .0020298   .0009875     2.06   0.042     .0000761    .0039836
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013188   .0011372     1.16   0.248    -.0009312    .0035688
ln_owor~1500 |   .0006288   .0009685     0.65   0.517    -.0012874     .002545
ln_owor~1600 |   .0017508   .0012304     1.42   0.157    -.0006836    .0041853
ln_owor~1700 |   .0022158   .0011087     2.00   0.048     .0000223    .0044093
ln_owor~1750 |   .0020576   .0011203     1.84   0.069     -.000159    .0042741
ln_owor~1800 |   .0003345   .0014984     0.22   0.824    -.0026302    .0032992
ln_owor~1850 |   .0000695    .001631     0.04   0.966    -.0031573    .0032964
ln_owor~1900 |    .009673   .0026258     3.68   0.000     .0044778    .0148683
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019772   .0046978     0.42   0.675    -.0073175    .0112719
ln_elev~1500 |    .004928   .0047772     1.03   0.304    -.0045238    .0143797
ln_elev~1600 |  -.0016324    .007655    -0.21   0.831    -.0167779    .0135132
ln_elev~1700 |  -.0045634    .006309    -0.72   0.471     -.017046    .0079192
ln_elev~1750 |  -.0061082   .0068246    -0.90   0.372    -.0196109    .0073945
ln_elev~1800 |  -.0072556   .0061668    -1.18   0.242    -.0194568    .0049456
ln_elev~1850 |  -.0082229   .0059691    -1.38   0.171    -.0200329    .0035872
ln_elev~1900 |   -.026393   .0091696    -2.88   0.005    -.0445354   -.0082507
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003609   .0011429    -0.32   0.753    -.0026222    .0019004
ln_trop~1500 |    .000265   .0008224     0.32   0.748    -.0013621    .0018922
ln_trop~1600 |   .0009803   .0015671     0.63   0.533    -.0021202    .0040808
ln_trop~1700 |  -.0011943   .0009918    -1.20   0.231    -.0031566     .000768
ln_trop~1750 |  -.0008073   .0010045    -0.80   0.423    -.0027947    .0011801
ln_trop~1800 |  -.0004797   .0009175    -0.52   0.602    -.0022951    .0013356
ln_trop~1850 |  -.0002269   .0009885    -0.23   0.819    -.0021827     .001729
ln_trop~1900 |  -.0070219   .0017423    -4.03   0.000    -.0104691   -.0035748
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0091906   .0068214    -1.35   0.180    -.0226869    .0043057
ln_rugg~1500 |  -.0051837   .0053498    -0.97   0.334    -.0157683    .0054009
ln_rugg~1600 |  -.0007824   .0083482    -0.09   0.925    -.0172995    .0157348
ln_rugg~1700 |   -.007032   .0061868    -1.14   0.258    -.0192727    .0052087
ln_rugg~1750 |  -.0041462   .0059731    -0.69   0.489    -.0159641    .0076717
ln_rugg~1800 |  -.0051019   .0057471    -0.89   0.376    -.0164726    .0062688
ln_rugg~1850 |  -.0052387   .0057332    -0.91   0.363     -.016582    .0061045
ln_rugg~1900 |  -.0012426   .0104006    -0.12   0.905    -.0218205    .0193352
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |  -.0193083   .0299494    -0.64   0.520    -.0785639    .0399474
 _Iyear_1500 |  -.0347682   .0297392    -1.17   0.245    -.0936079    .0240716
 _Iyear_1600 |  -.0039415   .0423239    -0.09   0.926    -.0876804    .0797975
 _Iyear_1700 |   .0189739   .0390747     0.49   0.628    -.0583364    .0962841
 _Iyear_1750 |   .0278959    .041968     0.66   0.507    -.0551389    .1109307
 _Iyear_1800 |   .0339846   .0382718     0.89   0.376    -.0417372    .1097063
 _Iyear_1850 |   .0389158   .0369601     1.05   0.294    -.0342106    .1120421
 _Iyear_1900 |   .1491736   .0571232     2.61   0.010      .036154    .2621932
       _cons |    .013976    .003746     3.73   0.000     .0065644    .0213876
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. restore

. 
. ******************************
. *** Post = 1700+ - (Row 2) ***
. ******************************
. preserve

. drop post ln_wpot_post

. gen post=0 if missing(year)!=1

. replace post=1 if year>1600 & missing(year)!=1
(650 real changes made)

. gen ln_wpot_post=ln_wpot*post

. gen ln_wpot_post_ver2=ln_wpot_ver2*post

. gen ln_wpot_post_ver3=ln_wpot_ver3*post

. for @ in any non_int_wpot non_ext_int_wpot: gen @_post=@*post

->  gen non_int_wpot_post=non_int_wpot*post

->  gen non_ext_int_wpot_post=non_ext_int_wpot*post

. 
. *** Total Population ***
. * Col 1
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   62.63
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24812

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0272221   .0115612     2.35   0.020     .0043479    .0500963
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |    .033373   .0097897     3.41   0.001     .0140039    .0527422
ln_owor~1500 |    .058061   .0112314     5.17   0.000     .0358393    .0802826
ln_owor~1600 |   .0682402   .0102968     6.63   0.000     .0478677    .0886128
ln_owor~1700 |   .0526716   .0173569     3.03   0.003     .0183306    .0870126
ln_owor~1750 |   .0664525   .0175851     3.78   0.000     .0316599    .1012451
ln_owor~1800 |   .0872777   .0184621     4.73   0.000       .05075    .1238054
ln_owor~1850 |   .1113037   .0195263     5.70   0.000     .0726703     .149937
ln_owor~1900 |   .1438116   .0221995     6.48   0.000     .0998894    .1877339
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0312535   .0335655    -0.93   0.354    -.0976636    .0351567
ln_elev~1500 |  -.0701646   .0418292    -1.68   0.096    -.1529247    .0125954
ln_elev~1600 |  -.1036761    .045189    -2.29   0.023    -.1930835   -.0142686
ln_elev~1700 |  -.1569705   .0578305    -2.71   0.008    -.2713896   -.0425514
ln_elev~1750 |  -.1747963   .0604409    -2.89   0.004    -.2943801   -.0552125
ln_elev~1800 |   -.206655   .0659162    -3.14   0.002    -.3370717   -.0762383
ln_elev~1850 |  -.2281739   .0728025    -3.13   0.002    -.3722154   -.0841324
ln_elev~1900 |  -.2870798   .0885679    -3.24   0.002    -.4623136   -.1118459
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0100383   .0071156     1.41   0.161    -.0040402    .0241167
ln_trop~1500 |   .0042558   .0085893     0.50   0.621    -.0127383      .02125
ln_trop~1600 |  -.0030185   .0087734    -0.34   0.731    -.0203769    .0143399
ln_trop~1700 |   .0116801   .0103274     1.13   0.260     -.008753    .0321131
ln_trop~1750 |   .0041722   .0109984     0.38   0.705    -.0175885    .0259329
ln_trop~1800 |  -.0077709   .0121472    -0.64   0.523    -.0318044    .0162625
ln_trop~1850 |  -.0187855   .0133278    -1.41   0.161    -.0451549    .0075839
ln_trop~1900 |  -.0279794   .0154793    -1.81   0.073    -.0586056    .0026467
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0146117   .0394529     0.37   0.712    -.0634468    .0926703
ln_rugg~1500 |   .0451426   .0465264     0.97   0.334     -.046911    .1371963
ln_rugg~1600 |   .0561033   .0492861     1.14   0.257    -.0414104    .1536171
ln_rugg~1700 |   .0649113   .0668746     0.97   0.334    -.0674017    .1972243
ln_rugg~1750 |   .0866609   .0710747     1.22   0.225    -.0539622    .2272839
ln_rugg~1800 |    .108599   .0767221     1.42   0.159    -.0431976    .2603956
ln_rugg~1850 |   .1077989   .0814696     1.32   0.188    -.0533907    .2689885
ln_rugg~1900 |   .1709781   .0970652     1.76   0.081    -.0210678    .3630241
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |    .282777   .1957428     1.44   0.151    -.1045049    .6700589
 _Iyear_1500 |   .4985827   .2480058     2.01   0.046     .0078971    .9892684
 _Iyear_1600 |   .8471984   .2696715     3.14   0.002     .3136467     1.38075
 _Iyear_1700 |   1.243904   .3374194     3.69   0.000     .5763117    1.911497
 _Iyear_1750 |   1.401262   .3537842     3.96   0.000     .7012917    2.101233
 _Iyear_1800 |   1.628323   .3872597     4.20   0.000       .86212    2.394525
 _Iyear_1850 |   1.860438   .4253662     4.37   0.000     1.018841    2.702036
 _Iyear_1900 |   2.383527   .5274041     4.52   0.000     1.340045    3.427009
       _cons |   12.64235   .0323658   390.61   0.000     12.57831    12.70638
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 2
. xi: areg ln_population ln_wpot_post_ver2 `ln_oworld_flexible' `ln_elevation_flexible' `l
> n_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   61.68
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24767

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_po~2 |   .0328987   .0122213     2.69   0.008     .0087185    .0570788
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0334278   .0097821     3.42   0.001     .0140737     .052782
ln_owor~1500 |   .0581158   .0112213     5.18   0.000     .0359142    .0803173
ln_owor~1600 |    .068295   .0102902     6.64   0.000     .0479357    .0886544
ln_owor~1700 |   .0447026   .0181547     2.46   0.015     .0087831    .0806221
ln_owor~1750 |   .0584835   .0182014     3.21   0.002     .0224716    .0944955
ln_owor~1800 |   .0793087   .0188566     4.21   0.000     .0420005    .1166168
ln_owor~1850 |   .1033347   .0199578     5.18   0.000     .0638477    .1428217
ln_owor~1900 |   .1358426   .0226758     5.99   0.000     .0909779    .1807073
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0313295   .0335518    -0.93   0.352    -.0977126    .0350536
ln_elev~1500 |  -.0702407   .0418146    -1.68   0.095    -.1529719    .0124905
ln_elev~1600 |  -.1037521   .0451758    -2.30   0.023    -.1931336   -.0143706
ln_elev~1700 |  -.1613027   .0569181    -2.83   0.005    -.2739166   -.0486888
ln_elev~1750 |  -.1791285   .0596374    -3.00   0.003    -.2971225   -.0611345
ln_elev~1800 |  -.2109871   .0652364    -3.23   0.002    -.3400589   -.0819153
ln_elev~1850 |   -.232506   .0722436    -3.22   0.002    -.3754418   -.0895702
ln_elev~1900 |  -.2914119   .0882315    -3.30   0.001    -.4659801   -.1168437
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0099765   .0071039     1.40   0.163    -.0040788    .0240318
ln_trop~1500 |   .0041941   .0085759     0.49   0.626    -.0127735    .0211617
ln_trop~1600 |  -.0030803     .00877    -0.35   0.726    -.0204318    .0142713
ln_trop~1700 |   .0149571   .0108564     1.38   0.171    -.0065226    .0364368
ln_trop~1750 |   .0074492   .0114957     0.65   0.518    -.0152953    .0301936
ln_trop~1800 |  -.0044939   .0125873    -0.36   0.722    -.0293982    .0204103
ln_trop~1850 |  -.0155085   .0136786    -1.13   0.259     -.042572     .011555
ln_trop~1900 |  -.0247024   .0157467    -1.57   0.119    -.0558576    .0064528
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0144061   .0394408     0.37   0.716    -.0636285    .0924407
ln_rugg~1500 |    .044937   .0465064     0.97   0.336    -.0470771    .1369511
ln_rugg~1600 |   .0558977   .0492882     1.13   0.259    -.0416203    .1534157
ln_rugg~1700 |   .0589764   .0669502     0.88   0.380    -.0734863    .1914391
ln_rugg~1750 |    .080726   .0712842     1.13   0.260    -.0603115    .2217635
ln_rugg~1800 |   .1026641   .0770624     1.33   0.185    -.0498057    .2551339
ln_rugg~1850 |   .1018641   .0815988     1.25   0.214    -.0595812    .2633094
ln_rugg~1900 |   .1650433   .0969612     1.70   0.091    -.0267968    .3568833
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |   .2832738   .1956611     1.45   0.150    -.1038465     .670394
 _Iyear_1500 |   .4990795   .2479251     2.01   0.046     .0085536    .9896054
 _Iyear_1600 |   .8476952   .2695966     3.14   0.002     .3142918    1.381099
 _Iyear_1700 |   1.262548   .3355785     3.76   0.000     .5985975    1.926498
 _Iyear_1750 |   1.419906   .3525881     4.03   0.000     .7223018     2.11751
 _Iyear_1800 |   1.646966   .3866709     4.26   0.000     .8819285    2.412004
 _Iyear_1850 |   1.879082   .4255833     4.42   0.000     1.037055    2.721109
 _Iyear_1900 |    2.40217   .5288932     4.54   0.000     1.355742    3.448598
       _cons |   12.64219    .032387   390.35   0.000     12.57811    12.70627
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 3
. xi: areg ln_population non_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `l
> n_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   61.01
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24747

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_int_w~st |   .0333945   .0114844     2.91   0.004     .0106723    .0561167
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0334296   .0097781     3.42   0.001     .0140834    .0527758
ln_owor~1500 |   .0581175   .0112232     5.18   0.000     .0359122    .0803228
ln_owor~1600 |   .0682968   .0102908     6.64   0.000     .0479363    .0886573
ln_owor~1700 |   .0446244   .0176683     2.53   0.013     .0096672    .0795816
ln_owor~1750 |   .0584053   .0177901     3.28   0.001     .0232072    .0936034
ln_owor~1800 |   .0792305   .0185275     4.28   0.000     .0425735    .1158875
ln_owor~1850 |   .1032564   .0197107     5.24   0.000     .0642583    .1422546
ln_owor~1900 |   .1357644   .0224186     6.06   0.000     .0914086    .1801202
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |   -.031342   .0335457    -0.93   0.352     -.097713    .0350291
ln_elev~1500 |  -.0702531    .041817    -1.68   0.095     -.152989    .0124828
ln_elev~1600 |  -.1037645    .045176    -2.30   0.023    -.1931463   -.0143827
ln_elev~1700 |  -.1650805   .0565451    -2.92   0.004    -.2769564   -.0532047
ln_elev~1750 |  -.1829063   .0593051    -3.08   0.002     -.300243   -.0655697
ln_elev~1800 |   -.214765   .0649547    -3.31   0.001    -.3432794   -.0862505
ln_elev~1850 |  -.2362839   .0719974    -3.28   0.001    -.3787325   -.0938352
ln_elev~1900 |  -.2951897   .0880837    -3.35   0.001    -.4694656   -.1209139
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |    .009981      .0071     1.41   0.162    -.0040666    .0240286
ln_trop~1500 |   .0041985    .008575     0.49   0.625    -.0127673    .0211644
ln_trop~1600 |  -.0030758   .0087668    -0.35   0.726    -.0204211    .0142694
ln_trop~1700 |   .0153774    .011502     1.34   0.184    -.0073795    .0381343
ln_trop~1750 |   .0078695   .0122039     0.64   0.520    -.0162761    .0320151
ln_trop~1800 |  -.0040736   .0133296    -0.31   0.760    -.0304466    .0222994
ln_trop~1850 |  -.0150881   .0144535    -1.04   0.298    -.0436848    .0135086
ln_trop~1900 |  -.0242821   .0164573    -1.48   0.143    -.0568433    .0082792
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0144876   .0394012     0.37   0.714    -.0634686    .0924439
ln_rugg~1500 |   .0450185   .0464894     0.97   0.335    -.0469619    .1369989
ln_rugg~1600 |   .0559792    .049262     1.14   0.258    -.0414868    .1534452
ln_rugg~1700 |   .0612537   .0655141     0.93   0.352    -.0683676     .190875
ln_rugg~1750 |   .0830033   .0697701     1.19   0.236    -.0550385    .2210451
ln_rugg~1800 |   .1049414   .0755091     1.39   0.167    -.0444551    .2543379
ln_rugg~1850 |   .1041414   .0799741     1.30   0.195    -.0540894    .2623721
ln_rugg~1900 |   .1673206   .0955172     1.75   0.082    -.0216625    .3563037
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |   .2833294   .1956316     1.45   0.150    -.1037325    .6703913
 _Iyear_1500 |   .4991351    .247939     2.01   0.046     .0085817    .9896885
 _Iyear_1600 |   .8477508    .269599     3.14   0.002     .3143426    1.381159
 _Iyear_1700 |   1.280187   .3339972     3.83   0.000     .6193652    1.941009
 _Iyear_1750 |   1.437545   .3510823     4.09   0.000     .7429202     2.13217
 _Iyear_1800 |   1.664605   .3853441     4.32   0.000     .9021928    2.427018
 _Iyear_1850 |   1.896721   .4244332     4.47   0.000     1.056969    2.736473
 _Iyear_1900 |   2.419809    .528227     4.58   0.000     1.374699    3.464919
       _cons |   12.64219   .0323006   391.39   0.000     12.57829     12.7061
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 4
. xi: areg ln_population non_ext_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexible
> ' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   60.20
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24774

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_ext_i~st |   .0245049   .0091285     2.68   0.008     .0064438    .0425659
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0334354   .0097744     3.42   0.001     .0140965    .0527743
ln_owor~1500 |   .0581233   .0112311     5.18   0.000     .0359023    .0803443
ln_owor~1600 |   .0683026   .0102975     6.63   0.000     .0479287    .0886765
ln_owor~1700 |   .0516061   .0150669     3.43   0.001     .0217959    .0814163
ln_owor~1750 |    .065387   .0151344     4.32   0.000     .0354433    .0953307
ln_owor~1800 |   .0862122   .0159569     5.40   0.000      .054641    .1177833
ln_owor~1850 |   .1102381   .0170504     6.47   0.000     .0765034    .1439728
ln_owor~1900 |   .1427461   .0193393     7.38   0.000     .1044829    .1810093
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0313699    .033543    -0.94   0.351    -.0977355    .0349957
ln_elev~1500 |  -.0702811   .0418306    -1.68   0.095     -.153044    .0124819
ln_elev~1600 |  -.1037925   .0451864    -2.30   0.023    -.1931948   -.0143901
ln_elev~1700 |  -.1693316   .0553167    -3.06   0.003     -.278777   -.0598862
ln_elev~1750 |  -.1871574   .0581484    -3.22   0.002    -.3022055   -.0721093
ln_elev~1800 |  -.2190161   .0639931    -3.42   0.001    -.3456279   -.0924042
ln_elev~1850 |  -.2405349   .0714149    -3.37   0.001     -.381831   -.0992389
ln_elev~1900 |  -.2994408   .0879021    -3.41   0.001    -.4733573   -.1255243
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0099872   .0070958     1.41   0.162     -.004052    .0240263
ln_trop~1500 |   .0042047   .0085755     0.49   0.625    -.0127621    .0211716
ln_trop~1600 |  -.0030696   .0087625    -0.35   0.727    -.0204064    .0142672
ln_trop~1700 |    .008368   .0114486     0.73   0.466    -.0142834    .0310193
ln_trop~1750 |     .00086   .0123452     0.07   0.945    -.0235653    .0252854
ln_trop~1800 |   -.011083   .0136394    -0.81   0.418    -.0380688    .0159028
ln_trop~1850 |  -.0220976    .015125    -1.46   0.146    -.0520227    .0078276
ln_trop~1900 |  -.0312915   .0174335    -1.79   0.075    -.0657842    .0032011
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0146405   .0393202     0.37   0.710    -.0631554    .0924364
ln_rugg~1500 |   .0451713   .0464482     0.97   0.333    -.0467276    .1370703
ln_rugg~1600 |   .0561321   .0491975     1.14   0.256    -.0412063    .1534705
ln_rugg~1700 |   .0642741   .0593036     1.08   0.280    -.0530595    .1816078
ln_rugg~1750 |   .0860237    .063392     1.36   0.177     -.039399    .2114464
ln_rugg~1800 |   .1079618    .069169     1.56   0.121    -.0288907    .2448143
ln_rugg~1850 |   .1071618   .0741005     1.45   0.151    -.0394479    .2537715
ln_rugg~1900 |    .170341   .0911525     1.87   0.064    -.0100065    .3506884
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |    .283461   .1956334     1.45   0.150    -.1036045    .6705264
 _Iyear_1500 |   .4992667   .2480238     2.01   0.046     .0085456    .9899878
 _Iyear_1600 |   .8478824   .2696682     3.14   0.002     .3143373    1.381428
 _Iyear_1700 |   1.302337   .3296844     3.95   0.000     .6500481    1.954626
 _Iyear_1750 |   1.459695   .3478232     4.20   0.000     .7715184    2.147872
 _Iyear_1800 |   1.686755   .3836626     4.40   0.000     .9276695    2.445841
 _Iyear_1850 |   1.918871   .4249327     4.52   0.000     1.078131    2.759611
 _Iyear_1900 |   2.441959    .530222     4.61   0.000     1.392902    3.491017
       _cons |   12.64219   .0323778   390.46   0.000     12.57813    12.70625
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. 
. *** City Population Share ***
. * Col 1
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.09
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4442
                                                       Adj R-squared =  0.3690
                                                       Root MSE      =  .03867

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |    .003516   .0010928     3.22   0.002     .0013538    .0056781
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013148   .0011375     1.16   0.250    -.0009358    .0035654
ln_owor~1500 |   .0006248   .0009688     0.64   0.520     -.001292    .0025415
ln_owor~1600 |   .0017468   .0012309     1.42   0.158    -.0006885    .0041821
ln_owor~1700 |  -.0011524   .0016195    -0.71   0.478    -.0043565    .0020518
ln_owor~1750 |  -.0013106   .0017086    -0.77   0.444     -.004691    .0020698
ln_owor~1800 |  -.0007827    .001633    -0.48   0.633    -.0040136    .0024482
ln_owor~1850 |  -.0010477   .0017021    -0.62   0.539    -.0044153      .00232
ln_owor~1900 |   .0085558   .0025941     3.30   0.001     .0034234    .0136882
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |    .001987   .0046993     0.42   0.673    -.0073106    .0112846
ln_elev~1500 |   .0049377   .0047783     1.03   0.303    -.0045162    .0143917
ln_elev~1600 |  -.0016226   .0076558    -0.21   0.832    -.0167698    .0135245
ln_elev~1700 |  -.0034298   .0062856    -0.55   0.586    -.0158659    .0090064
ln_elev~1750 |  -.0049746   .0069167    -0.72   0.473    -.0186594    .0087103
ln_elev~1800 |  -.0058285   .0063201    -0.92   0.358    -.0183329    .0066759
ln_elev~1850 |  -.0067957   .0060733    -1.12   0.265    -.0188118    .0052204
ln_elev~1900 |  -.0249659   .0089108    -2.80   0.006    -.0425961   -.0073357
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003591   .0011428    -0.31   0.754      -.00262    .0019019
ln_trop~1500 |   .0002669   .0008219     0.32   0.746    -.0013593     .001893
ln_trop~1600 |   .0009821   .0015664     0.63   0.532    -.0021171    .0040813
ln_trop~1700 |   .0002674   .0010987     0.24   0.808    -.0019063    .0024412
ln_trop~1750 |   .0006544   .0011612     0.56   0.574    -.0016431    .0029519
ln_trop~1800 |   .0003158   .0010795     0.29   0.770    -.0018199    .0024516
ln_trop~1850 |   .0005687   .0011236     0.51   0.614    -.0016543    .0027917
ln_trop~1900 |  -.0062264   .0016938    -3.68   0.000    -.0095776   -.0028752
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092125    .006822    -1.35   0.179      -.02271     .004285
ln_rugg~1500 |  -.0052057   .0053493    -0.97   0.332    -.0157895    .0053781
ln_rugg~1600 |  -.0008043   .0083458    -0.10   0.923    -.0173168    .0157081
ln_rugg~1700 |  -.0092379   .0062409    -1.48   0.141    -.0215856    .0031099
ln_rugg~1750 |  -.0063521   .0061498    -1.03   0.304    -.0185197    .0058154
ln_rugg~1800 |   -.005852   .0057817    -1.01   0.313    -.0172912    .0055872
ln_rugg~1850 |  -.0059889   .0057076    -1.05   0.296    -.0172814    .0053037
ln_rugg~1900 |  -.0019928   .0098494    -0.20   0.840      -.02148    .0174944
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |  -.0193614   .0299562    -0.65   0.519    -.0786304    .0399077
 _Iyear_1500 |  -.0348213   .0297447    -1.17   0.244     -.093672    .0240294
 _Iyear_1600 |  -.0039946   .0423285    -0.09   0.925    -.0877425    .0797534
 _Iyear_1700 |   .0167157   .0386867     0.43   0.666     -.059827    .0932583
 _Iyear_1750 |   .0256377     .04208     0.61   0.543    -.0576186    .1088941
 _Iyear_1800 |    .028357    .038773     0.73   0.466    -.0483563    .1050704
 _Iyear_1850 |   .0332882   .0372384     0.89   0.373    -.0403889    .1069654
 _Iyear_1900 |   .1435461   .0555528     2.58   0.011     .0336336    .2534586
       _cons |   .0139838   .0037441     3.73   0.000      .006576    .0213916
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 2
. xi: areg city_pop_share ln_wpot_post_ver2 `ln_oworld_flexible' `ln_elevation_flexible' `
> ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.08
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4428
                                                       Adj R-squared =  0.3674
                                                       Root MSE      =  .03872

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_po~2 |   .0034783    .000981     3.55   0.001     .0015374    .0054191
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013209   .0011375     1.16   0.248    -.0009297    .0035715
ln_owor~1500 |   .0006308   .0009689     0.65   0.516    -.0012862    .0025479
ln_owor~1600 |   .0017529   .0012309     1.42   0.157    -.0006825    .0041882
ln_owor~1700 |  -.0013843   .0015298    -0.90   0.367     -.004411    .0016423
ln_owor~1750 |  -.0015425   .0015302    -1.01   0.315      -.00457    .0014849
ln_owor~1800 |  -.0010147   .0014932    -0.68   0.498     -.003969    .0019397
ln_owor~1850 |  -.0012796   .0016348    -0.78   0.435     -.004514    .0019548
ln_owor~1900 |   .0083239   .0026094     3.19   0.002     .0031612    .0134866
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019778   .0047001     0.42   0.675    -.0073215     .011277
ln_elev~1500 |   .0049285   .0047778     1.03   0.304    -.0045245    .0143815
ln_elev~1600 |  -.0016318   .0076557    -0.21   0.832    -.0167787    .0135151
ln_elev~1700 |  -.0040929   .0061975    -0.66   0.510    -.0163548     .008169
ln_elev~1750 |  -.0056377   .0067497    -0.84   0.405    -.0189922    .0077169
ln_elev~1800 |  -.0064916   .0061945    -1.05   0.297    -.0187475    .0057643
ln_elev~1850 |  -.0074588   .0059792    -1.25   0.214    -.0192888    .0043712
ln_elev~1900 |   -.025629   .0090486    -2.83   0.005    -.0435318   -.0077262
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003654   .0011431    -0.32   0.750    -.0026271    .0018963
ln_trop~1500 |   .0002605   .0008229     0.32   0.752    -.0013675    .0018886
ln_trop~1600 |   .0009758   .0015669     0.62   0.535    -.0021243     .004076
ln_trop~1700 |   .0003493   .0009693     0.36   0.719    -.0015685     .002267
ln_trop~1750 |   .0007362   .0009882     0.75   0.458    -.0012189    .0026913
ln_trop~1800 |   .0003977   .0009373     0.42   0.672    -.0014567     .002252
ln_trop~1850 |   .0006505   .0010084     0.65   0.520    -.0013447    .0026457
ln_trop~1900 |  -.0061446   .0017103    -3.59   0.000    -.0095285   -.0027607
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092282   .0068236    -1.35   0.179    -.0227289    .0042724
ln_rugg~1500 |  -.0052213   .0053519    -0.98   0.331    -.0158102    .0053675
ln_rugg~1600 |    -.00082   .0083476    -0.10   0.922     -.017336    .0156959
ln_rugg~1700 |  -.0094631   .0062693    -1.51   0.134    -.0218671     .002941
ln_rugg~1750 |  -.0065773   .0061095    -1.08   0.284     -.018665    .0055104
ln_rugg~1800 |  -.0060772    .005763    -1.05   0.294    -.0174794    .0053251
ln_rugg~1850 |  -.0062141   .0057232    -1.09   0.280    -.0175375    .0051094
ln_rugg~1900 |   -.002218   .0100901    -0.22   0.826    -.0221816    .0177456
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |  -.0193032   .0299615    -0.64   0.521    -.0785829    .0399764
 _Iyear_1500 |  -.0347631   .0297421    -1.17   0.245    -.0936085    .0240823
 _Iyear_1600 |  -.0039364   .0423279    -0.09   0.926    -.0876832    .0798104
 _Iyear_1700 |   .0190925   .0383622     0.50   0.620     -.056808     .094993
 _Iyear_1750 |   .0280145     .04147     0.68   0.501    -.0540349     .110064
 _Iyear_1800 |   .0307338   .0383492     0.80   0.424     -.045141    .1066086
 _Iyear_1850 |    .035665   .0369424     0.97   0.336    -.0374265    .1087566
 _Iyear_1900 |   .1459229   .0563789     2.59   0.011     .0343758      .25747
       _cons |   .0139674    .003743     3.73   0.000     .0065618     .021373
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 3
. xi: areg city_pop_share non_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `
> ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.08
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4434
                                                       Adj R-squared =  0.3680
                                                       Root MSE      =   .0387

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_int_w~st |   .0035816   .0009753     3.67   0.000     .0016518    .0055113
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013211   .0011374     1.16   0.248    -.0009293    .0035716
ln_owor~1500 |   .0006311   .0009689     0.65   0.516    -.0012858     .002548
ln_owor~1600 |   .0017531   .0012309     1.42   0.157    -.0006822    .0041885
ln_owor~1700 |  -.0014445   .0014634    -0.99   0.325    -.0043399    .0014508
ln_owor~1750 |  -.0016028   .0014732    -1.09   0.279    -.0045176    .0013121
ln_owor~1800 |  -.0010749   .0014462    -0.74   0.459    -.0039362    .0017865
ln_owor~1850 |  -.0013398    .001593    -0.84   0.402    -.0044916     .001812
ln_owor~1900 |   .0082637   .0025918     3.19   0.002     .0031358    .0133915
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019764   .0046994     0.42   0.675    -.0073216    .0112744
ln_elev~1500 |   .0049271   .0047775     1.03   0.304    -.0045253    .0143796
ln_elev~1600 |  -.0016332   .0076556    -0.21   0.831    -.0167801    .0135137
ln_elev~1700 |  -.0044913    .006174    -0.73   0.468    -.0167067    .0077241
ln_elev~1750 |  -.0060361   .0067269    -0.90   0.371    -.0193454    .0072732
ln_elev~1800 |    -.00689   .0061664    -1.12   0.266    -.0190904    .0053103
ln_elev~1850 |  -.0078573   .0059451    -1.32   0.189    -.0196197    .0039052
ln_elev~1900 |  -.0260274   .0090146    -2.89   0.005    -.0438631   -.0081917
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |   -.000365   .0011431    -0.32   0.750    -.0026266    .0018966
ln_trop~1500 |   .0002609   .0008226     0.32   0.752    -.0013667    .0018885
ln_trop~1600 |   .0009762   .0015667     0.62   0.534    -.0021235    .0040759
ln_trop~1700 |   .0004165   .0009591     0.43   0.665     -.001481     .002314
ln_trop~1750 |   .0008035   .0009853     0.82   0.416    -.0011459    .0027529
ln_trop~1800 |   .0004649   .0009331     0.50   0.619    -.0013813    .0023111
ln_trop~1850 |   .0007178   .0010056     0.71   0.477    -.0012719    .0027074
ln_trop~1900 |  -.0060773   .0017015    -3.57   0.000    -.0094438   -.0027108
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092202    .006823    -1.35   0.179    -.0227197    .0042793
ln_rugg~1500 |  -.0052133   .0053511    -0.97   0.332    -.0158007    .0053741
ln_rugg~1600 |   -.000812    .008347    -0.10   0.923    -.0173267    .0157027
ln_rugg~1700 |   -.009254   .0062493    -1.48   0.141    -.0216184    .0031104
ln_rugg~1750 |  -.0063683   .0060788    -1.05   0.297    -.0183953    .0056588
ln_rugg~1800 |  -.0058681   .0057282    -1.02   0.308    -.0172015    .0054652
ln_rugg~1850 |   -.006005   .0056897    -1.06   0.293    -.0172623    .0052523
ln_rugg~1900 |  -.0020089   .0100361    -0.20   0.842    -.0218655    .0178477
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |  -.0192969   .0299582    -0.64   0.521      -.07857    .0399762
 _Iyear_1500 |  -.0347568   .0297404    -1.17   0.245     -.093599    .0240854
 _Iyear_1600 |    -.00393   .0423277    -0.09   0.926    -.0876763    .0798163
 _Iyear_1700 |   .0209863    .038221     0.55   0.584    -.0546349    .0966075
 _Iyear_1750 |   .0299084   .0413505     0.72   0.471    -.0519046    .1117214
 _Iyear_1800 |   .0326277   .0382078     0.85   0.395    -.0429675    .1082228
 _Iyear_1850 |   .0375589   .0367875     1.02   0.309    -.0352262    .1103439
 _Iyear_1900 |   .1478167   .0562343     2.63   0.010     .0365558    .2590777
       _cons |   .0139675   .0037444     3.73   0.000     .0065591    .0213759
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Col 4
. xi: areg city_pop_share non_ext_int_wpot_post `ln_oworld_flexible' `ln_elevation_flexibl
> e' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.12
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4407
                                                       Adj R-squared =  0.3650
                                                       Root MSE      =   .0388

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
non_ext_i~st |   .0020911   .0008973     2.33   0.021     .0003157    .0038664
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013207   .0011371     1.16   0.248    -.0009292    .0035705
ln_owor~1500 |   .0006306   .0009685     0.65   0.516    -.0012857    .0025469
ln_owor~1600 |   .0017527   .0012303     1.42   0.157    -.0006816    .0041869
ln_owor~1700 |  -.0001013   .0014512    -0.07   0.944    -.0029725    .0027699
ln_owor~1750 |  -.0002595   .0014128    -0.18   0.855    -.0030548    .0025358
ln_owor~1800 |   .0002684   .0013894     0.19   0.847    -.0024805    .0030173
ln_owor~1850 |   3.42e-06   .0015586     0.00   0.998    -.0030803    .0030871
ln_owor~1900 |   .0096069   .0026557     3.62   0.000     .0043525    .0148613
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019749   .0046978     0.42   0.675      -.00732    .0112697
ln_elev~1500 |   .0049256   .0047767     1.03   0.304    -.0045252    .0143764
ln_elev~1600 |  -.0016347   .0076545    -0.21   0.831    -.0167794    .0135099
ln_elev~1700 |  -.0048681   .0061837    -0.79   0.433    -.0171027    .0073664
ln_elev~1750 |  -.0064129   .0067128    -0.96   0.341    -.0196943    .0068685
ln_elev~1800 |  -.0072669   .0061696    -1.18   0.241    -.0194736    .0049398
ln_elev~1850 |  -.0082341   .0059663    -1.38   0.170    -.0200386    .0035704
ln_elev~1900 |  -.0264043   .0091802    -2.88   0.005    -.0445676    -.008241
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |   -.000363    .001143    -0.32   0.751    -.0026244    .0018984
ln_trop~1500 |   .0002629   .0008229     0.32   0.750    -.0013652     .001891
ln_trop~1600 |   .0009782   .0015674     0.62   0.534     -.002123    .0040794
ln_trop~1700 |  -.0005102   .0009116    -0.56   0.577    -.0023138    .0012935
ln_trop~1750 |  -.0001232   .0009178    -0.13   0.893    -.0019391    .0016927
ln_trop~1800 |  -.0004618   .0008901    -0.52   0.605    -.0022228    .0012993
ln_trop~1850 |  -.0002089   .0009659    -0.22   0.829    -.0021199    .0017021
ln_trop~1900 |   -.007004   .0017017    -4.12   0.000    -.0103709    -.003637
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0091988   .0068225    -1.35   0.180    -.0226973    .0042998
ln_rugg~1500 |  -.0051919   .0053512    -0.97   0.334    -.0157794    .0053957
ln_rugg~1600 |  -.0007906   .0083491    -0.09   0.925    -.0173094    .0157283
ln_rugg~1700 |  -.0085399   .0063572    -1.34   0.182    -.0211178    .0040381
ln_rugg~1750 |  -.0056541   .0061193    -0.92   0.357    -.0177613     .006453
ln_rugg~1800 |   -.005154   .0057779    -0.89   0.374    -.0165857    .0062777
ln_rugg~1850 |  -.0052909   .0057751    -0.92   0.361     -.016717    .0061353
ln_rugg~1900 |  -.0012948   .0102806    -0.13   0.900    -.0216353    .0190458
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |  -.0192925   .0299495    -0.64   0.521    -.0785484    .0399634
 _Iyear_1500 |  -.0347524   .0297362    -1.17   0.245    -.0935861    .0240814
 _Iyear_1600 |  -.0039257   .0423211    -0.09   0.926    -.0876589    .0798076
 _Iyear_1700 |   .0224607   .0383491     0.59   0.559    -.0534139    .0983353
 _Iyear_1750 |   .0313827   .0413638     0.76   0.449    -.0504565     .113222
 _Iyear_1800 |    .034102   .0383057     0.89   0.375    -.0416868    .1098908
 _Iyear_1850 |   .0390332   .0369429     1.06   0.293    -.0340592    .1121257
 _Iyear_1900 |   .1492911   .0572905     2.61   0.010     .0359405    .2626417
       _cons |   .0139707   .0037368     3.74   0.000     .0065774     .021364
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. restore

. 
. ***********************************************
. *** Table 6 - CONTROLLING FOR OTHER FACTORS ***
. ***********************************************
. 
. *** Total Population (Panel A) ***
. * Baseline (Col 1)
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   59.01
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24742

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0324743   .0116344     2.79   0.006     .0094554    .0554933
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0333736   .0097894     3.41   0.001     .0140049    .0527422
ln_owor~1500 |   .0580615   .0112321     5.17   0.000     .0358385    .0802845
ln_owor~1600 |   .0682408   .0102973     6.63   0.000     .0478673    .0886143
ln_owor~1700 |    .078719   .0127522     6.17   0.000     .0534885    .1039494
ln_owor~1750 |   .0614275   .0178208     3.45   0.001     .0261686    .0966864
ln_owor~1800 |   .0822527   .0186331     4.41   0.000     .0453867    .1191187
ln_owor~1850 |   .1062787   .0195893     5.43   0.000     .0675207    .1450366
ln_owor~1900 |   .1387866   .0221295     6.27   0.000      .095003    .1825703
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0312558   .0335634    -0.93   0.353    -.0976618    .0351502
ln_elev~1500 |  -.0701669   .0418284    -1.68   0.096    -.1529254    .0125915
ln_elev~1600 |  -.1036784   .0451877    -2.29   0.023    -.1930834   -.0142733
ln_elev~1700 |  -.1656741   .0552153    -3.00   0.003     -.274919   -.0564293
ln_elev~1750 |  -.1731198   .0607593    -2.85   0.005    -.2933336    -.052906
ln_elev~1800 |  -.2049785   .0661316    -3.10   0.002    -.3358215   -.0741355
ln_elev~1850 |  -.2264973   .0728878    -3.11   0.002    -.3707077    -.082287
ln_elev~1900 |  -.2854032   .0885897    -3.22   0.002    -.4606802   -.1101263
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0100387   .0071158     1.41   0.161    -.0040401    .0241175
ln_trop~1500 |   .0042562   .0085899     0.50   0.621     -.012739    .0212515
ln_trop~1600 |  -.0030181   .0087737    -0.34   0.731    -.0203771    .0143408
ln_trop~1700 |   .0003774   .0105295     0.04   0.971    -.0204555    .0212103
ln_trop~1750 |   .0063534   .0108277     0.59   0.558    -.0150695    .0277763
ln_trop~1800 |  -.0055897   .0119536    -0.47   0.641    -.0292402    .0180608
ln_trop~1850 |  -.0166042   .0132101    -1.26   0.211    -.0427407    .0095322
ln_trop~1900 |  -.0257982   .0154663    -1.67   0.098    -.0563986    .0048023
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0146235   .0394415     0.37   0.711    -.0634124    .0926595
ln_rugg~1500 |   .0451544   .0465175     0.97   0.334    -.0468816    .1371904
ln_rugg~1600 |   .0561151    .049275     1.14   0.257    -.0413766    .1536069
ln_rugg~1700 |   .0818323   .0607613     1.35   0.180    -.0383855      .20205
ln_rugg~1750 |   .0834102   .0714929     1.17   0.245    -.0580403    .2248606
ln_rugg~1800 |   .1053483   .0770489     1.37   0.174    -.0470949    .2577914
ln_rugg~1850 |   .1045483   .0817592     1.28   0.203    -.0572143    .2663108
ln_rugg~1900 |   .1677274   .0973971     1.72   0.087    -.0249751      .36043
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |    .282788   .1957321     1.44   0.151    -.1044728    .6700488
 _Iyear_1500 |   .4985937   .2480018     2.01   0.046      .007916    .9892714
 _Iyear_1600 |   .8472094   .2696652     3.14   0.002     .3136701    1.380749
 _Iyear_1700 |   1.260988   .3260549     3.87   0.000     .6158801    1.906095
 _Iyear_1750 |   1.397979   .3559801     3.93   0.000     .6936641    2.102295
 _Iyear_1800 |    1.62504   .3887998     4.18   0.000     .8557897     2.39429
 _Iyear_1850 |   1.857155   .4259837     4.36   0.000     1.014336    2.699974
 _Iyear_1900 |   2.380244   .5275065     4.51   0.000     1.336559    3.423928
       _cons |   12.64235    .032383   390.40   0.000     12.57827    12.70642
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Latitude (Col 2)
. xi: areg ln_population ln_wpot_post `ln_disteq_flexible' `ln_oworld_flexible' `ln_elevat
> ion_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(iso
> code)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 67,   129) =   73.20
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9900
                                                       Adj R-squared =  0.9886
                                                       Root MSE      =  .24677

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0300662   .0119103     2.52   0.013     .0065014     .053631
ln_diste~100 |   .0179311   .0158459     1.13   0.260    -.0134204    .0492825
ln_diste~200 |   .0174337   .0248242     0.70   0.484    -.0316816     .066549
ln_diste~300 |   .0002006   .0309099     0.01   0.995    -.0609553    .0613565
ln_diste~400 |  -.0227029   .0345392    -0.66   0.512    -.0910395    .0456337
ln_diste~500 |  -.0407065   .0406913    -1.00   0.319    -.1212152    .0398023
ln_diste~600 |  -.0230937   .0421781    -0.55   0.585    -.1065441    .0603567
ln_diste~700 |  -.0052411   .0502739    -0.10   0.917    -.1047092     .094227
ln_diste~750 |  -.0124919   .0570246    -0.22   0.827    -.1253164    .1003325
ln_diste~800 |   .0030331   .0629756     0.05   0.962    -.1215658    .1276319
ln_diste~850 |    .067473   .0585677     1.15   0.251    -.0484046    .1833506
ln_diste~900 |   .1284726   .0744564     1.73   0.087    -.0188411    .2757863
ln_owor~1100 |   .0135867   .0043553     3.12   0.002     .0049696    .0222038
ln_owor~1200 |   .0353809   .0072503     4.88   0.000      .021036    .0497258
ln_owor~1300 |   .0525731   .0091131     5.77   0.000     .0345426    .0706036
ln_owor~1400 |   .0354739   .0100458     3.53   0.001     .0155981    .0553498
ln_owor~1500 |   .0618234   .0113357     5.45   0.000     .0393954    .0842514
ln_owor~1600 |   .0703772   .0104383     6.74   0.000     .0497247    .0910297
ln_owor~1700 |   .0792078   .0134004     5.91   0.000     .0526948    .1057209
ln_owor~1750 |   .0648897   .0181223     3.58   0.000     .0290342    .1007452
ln_owor~1800 |    .084282   .0190685     4.42   0.000     .0465545    .1220096
ln_owor~1850 |   .1023609   .0201314     5.08   0.000     .0625305    .1421913
ln_owor~1900 |   .1292392   .0229254     5.64   0.000     .0838807    .1745977
ln_elev~1100 |  -.0109233   .0130903    -0.83   0.406    -.0368228    .0149762
ln_elev~1200 |  -.0423038   .0254425    -1.66   0.099    -.0926424    .0080349
ln_elev~1300 |  -.0757482   .0341042    -2.22   0.028    -.1432242   -.0082722
ln_elev~1400 |  -.0371626   .0356801    -1.04   0.300    -.1077567    .0334314
ln_elev~1500 |  -.0807529   .0434826    -1.86   0.066    -.1667843    .0052786
ln_elev~1600 |  -.1096868   .0474878    -2.31   0.022    -.2036426    -.015731
ln_elev~1700 |  -.1670427   .0581658    -2.87   0.005    -.2821252   -.0519602
ln_elev~1750 |  -.1771426   .0633799    -2.79   0.006    -.3025413   -.0517439
ln_elev~1800 |  -.2049664   .0690234    -2.97   0.004    -.3415309   -.0684018
ln_elev~1850 |  -.2097375   .0731457    -2.87   0.005     -.354458   -.0650169
ln_elev~1900 |  -.2527897   .0908684    -2.78   0.006     -.432575   -.0730044
ln_trop~1100 |  -.0010305   .0036191    -0.28   0.776     -.008191      .00613
ln_trop~1200 |  -.0087015    .006452    -1.35   0.180    -.0214669     .004064
ln_trop~1300 |  -.0130587   .0087881    -1.49   0.140    -.0304463    .0043288
ln_trop~1400 |   .0063052   .0101283     0.62   0.535    -.0137339    .0263442
ln_trop~1500 |  -.0024331   .0120648    -0.20   0.840    -.0263036    .0214374
ln_trop~1600 |  -.0068158   .0125836    -0.54   0.589    -.0317128    .0180812
ln_trop~1700 |  -.0004893   .0151569    -0.03   0.974    -.0304776    .0294991
ln_trop~1750 |   .0032964   .0165996     0.20   0.843    -.0295462     .036139
ln_trop~1800 |  -.0060978   .0182481    -0.33   0.739    -.0422021    .0300064
ln_trop~1850 |  -.0065328   .0178154    -0.37   0.714    -.0417811    .0287155
ln_trop~1900 |  -.0057119   .0208493    -0.27   0.785    -.0469628     .035539
ln_rugg~1100 |   .0017012   .0123786     0.14   0.891    -.0227902    .0261927
ln_rugg~1200 |   .0104207    .024525     0.42   0.672    -.0381025     .058944
ln_rugg~1300 |   .0346595   .0324316     1.07   0.287    -.0295073    .0988262
ln_rugg~1400 |   .0189602   .0412955     0.46   0.647    -.0627439    .1006643
ln_rugg~1500 |     .05295   .0484852     1.09   0.277    -.0429791    .1488792
ln_rugg~1600 |   .0605269   .0515346     1.17   0.242    -.0414356    .1624894
ln_rugg~1700 |    .082814   .0636762     1.30   0.196     -.043171    .2087991
ln_rugg~1750 |   .0872808    .073924     1.18   0.240    -.0589796    .2335413
ln_rugg~1800 |   .1062362   .0798247     1.33   0.186     -.051699    .2641714
ln_rugg~1850 |   .0930556   .0819246     1.14   0.258    -.0690342    .2551454
ln_rugg~1900 |   .1445151    .097953     1.48   0.143    -.0492872    .3383174
 _Iyear_1100 |   .0487184   .1087727     0.45   0.655    -.1664911    .2639279
 _Iyear_1200 |   .2521848   .1906557     1.32   0.188    -.1250323    .6294018
 _Iyear_1300 |   .5082106   .2490528     2.04   0.043     .0154537    1.000968
 _Iyear_1400 |   .3870918   .2711119     1.43   0.156    -.1493097    .9234932
 _Iyear_1500 |   .6855764   .3254422     2.11   0.037     .0416811    1.329472
 _Iyear_1600 |   .9533078   .3547765     2.69   0.008     .2513739    1.655242
 _Iyear_1700 |   1.285101   .4268798     3.01   0.003     .4405084    2.129693
 _Iyear_1750 |   1.456901    .462957     3.15   0.002     .5409292    2.372873
 _Iyear_1800 |   1.612665   .5066158     3.18   0.002     .6103132    2.615017
 _Iyear_1850 |   1.548849   .4867626     3.18   0.002     .5857773    2.511921
 _Iyear_1900 |   1.791805   .6338732     2.83   0.005     .5376711    3.045939
       _cons |   12.64233   .0325355   388.57   0.000     12.57796     12.7067
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Malaria (Col 3)
. xi: areg ln_population ln_wpot_post `malaria_flexible' `ln_oworld_flexible' `ln_elevatio
> n_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isoco
> de)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 67,   129) =   83.59
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9902
                                                       Adj R-squared =  0.9888
                                                       Root MSE      =   .2443

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0250154   .0157551     1.59   0.115    -.0061565    .0561873
malaria_1100 |  -.0031635   .0016651    -1.90   0.060     -.006458     .000131
malaria_1200 |  -.0058645   .0031049    -1.89   0.061    -.0120075    .0002786
malaria_1300 |  -.0053733   .0040867    -1.31   0.191     -.013459    .0027123
malaria_1400 |  -.0041089   .0049434    -0.83   0.407    -.0138896    .0056719
malaria_1500 |  -.0050646   .0061347    -0.83   0.411    -.0172023    .0070731
malaria_1600 |   -.004234   .0065471    -0.65   0.519    -.0171876    .0087196
malaria_1700 |  -.0007635   .0074672    -0.10   0.919    -.0155375    .0140106
malaria_1750 |   .0019614   .0098541     0.20   0.843    -.0175351    .0214579
malaria_1800 |  -.0017492   .0107685    -0.16   0.871    -.0230549    .0195566
malaria_1850 |  -.0147832   .0099265    -1.49   0.139     -.034423    .0048566
malaria_1900 |  -.0317633   .0118357    -2.68   0.008    -.0551804   -.0083461
ln_owor~1100 |   .0148023   .0040268     3.68   0.000     .0068352    .0227693
ln_owor~1200 |   .0361813   .0067753     5.34   0.000     .0227762    .0495865
ln_owor~1300 |   .0518565   .0086123     6.02   0.000     .0348169    .0688962
ln_owor~1400 |    .032818   .0098661     3.33   0.001     .0132977    .0523383
ln_owor~1500 |   .0573741   .0112556     5.10   0.000     .0351047    .0796435
ln_owor~1600 |    .067668   .0102571     6.60   0.000      .047374    .0879619
ln_owor~1700 |   .0786249   .0126776     6.20   0.000      .053542    .1037077
ln_owor~1750 |   .0688462   .0203796     3.38   0.001     .0285246    .1091678
ln_owor~1800 |   .0891596   .0211825     4.21   0.000     .0472494    .1310698
ln_owor~1850 |   .1113878   .0222428     5.01   0.000     .0673797    .1553958
ln_owor~1900 |   .1415537   .0245981     5.75   0.000     .0928858    .1902215
ln_elev~1100 |   -.011515   .0118927    -0.97   0.335    -.0350451     .012015
ln_elev~1200 |  -.0392964   .0238602    -1.65   0.102    -.0865044    .0079115
ln_elev~1300 |  -.0688972   .0324272    -2.12   0.036    -.1330551   -.0047392
ln_elev~1400 |  -.0259829   .0343259    -0.76   0.450    -.0938974    .0419317
ln_elev~1500 |  -.0636677   .0421573    -1.51   0.133     -.147077    .0197416
ln_elev~1600 |  -.0982449   .0450474    -2.18   0.031    -.1873723   -.0091175
ln_elev~1700 |  -.1646939   .0553085    -2.98   0.003    -.2741231   -.0552648
ln_elev~1750 |  -.1780203   .0594747    -2.99   0.003    -.2956924   -.0603481
ln_elev~1800 |  -.2051177   .0649653    -3.16   0.002     -.333653   -.0765823
ln_elev~1850 |  -.2099117   .0689797    -3.04   0.003    -.3463898   -.0734337
ln_elev~1900 |  -.2470293   .0825846    -2.99   0.003     -.410425   -.0836337
ln_trop~1100 |  -.0013237    .002612    -0.51   0.613    -.0064917    .0038443
ln_trop~1200 |   -.006659   .0051483    -1.29   0.198     -.016845    .0035271
ln_trop~1300 |  -.0086068   .0074195    -1.16   0.248    -.0232864    .0060728
ln_trop~1400 |   .0134587   .0087505     1.54   0.126    -.0038544    .0307717
ln_trop~1500 |   .0084771   .0105127     0.81   0.422    -.0123225    .0292766
ln_trop~1600 |   .0005067   .0112688     0.04   0.964    -.0217888    .0228022
ln_trop~1700 |   .0009942   .0132378     0.08   0.940     -.025197    .0271855
ln_trop~1750 |   .0015899   .0138374     0.11   0.909    -.0257878    .0289676
ln_trop~1800 |   -.007244   .0154732    -0.47   0.640    -.0378581      .02337
ln_trop~1850 |  -.0073371   .0154669    -0.47   0.636    -.0379388    .0232646
ln_trop~1900 |  -.0023031   .0183668    -0.13   0.900    -.0386423    .0340361
ln_rugg~1100 |   -.004593   .0143923    -0.32   0.750    -.0330686    .0238826
ln_rugg~1200 |  -.0043424    .028502    -0.15   0.879    -.0607342    .0520495
ln_rugg~1300 |   .0180445   .0376626     0.48   0.633     -.056472    .0925609
ln_rugg~1400 |   .0018355   .0465244     0.04   0.969    -.0902142    .0938852
ln_rugg~1500 |   .0294344    .055078     0.53   0.594    -.0795387    .1384076
ln_rugg~1600 |   .0429433   .0574596     0.75   0.456     -.070742    .1566286
ln_rugg~1700 |    .079307    .069788     1.14   0.258    -.0587703    .2173843
ln_rugg~1750 |   .0938772   .0762883     1.23   0.221    -.0570612    .2448155
ln_rugg~1800 |   .1044324   .0825026     1.27   0.208    -.0588011    .2676659
ln_rugg~1850 |   .0636476   .0796328     0.80   0.426    -.0939078    .2212031
ln_rugg~1900 |   .0747367   .0914331     0.82   0.415     -.106166    .2556394
 _Iyear_1100 |   .1114222   .0719591     1.55   0.124    -.0309506     .253795
 _Iyear_1200 |   .2958702   .1393391     2.12   0.036     .0201843    .5715561
 _Iyear_1300 |   .4758375   .1907835     2.49   0.014     .0983678    .8533073
 _Iyear_1400 |   .2573748   .2010718     1.28   0.203    -.1404507    .6552002
 _Iyear_1500 |   .4672605   .2510109     1.86   0.065    -.0293706    .9638917
 _Iyear_1600 |   .8210212   .2704175     3.04   0.003     .2859936    1.356049
 _Iyear_1700 |   1.256296   .3275607     3.84   0.000     .6082094    1.904383
 _Iyear_1750 |   1.414844   .3493153     4.05   0.000     .7237153    2.105973
 _Iyear_1800 |   1.618921   .3833205     4.22   0.000     .8605119     2.37733
 _Iyear_1850 |   1.770302   .4054018     4.37   0.000     .9682043    2.572399
 _Iyear_1900 |   2.188213   .4951897     4.42   0.000     1.208468    3.167958
       _cons |    12.6423   .0324759   389.28   0.000     12.57805    12.70655
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Legal Origin (Col 4)
. xi: areg ln_population ln_wpot_post i.year*legor_gbr i.year*legor_fra i.year*legor_deu i
> .year*legor_soc `ln_oworld_flexible' `ln_elevation_flexible' `ln_tropical_flexible' `ln_
> rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*legor_~r   _IyeaXleg_#         (coded as above)
i.year*legor~ra   _IyeaXlega#         (coded as above)
i.year*legor_~u   _IyeaXlegb#         (coded as above)
i.year*legor_~c   _IyeaXlegc#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 86, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9906
                                                       Adj R-squared =  0.9890
                                                       Root MSE      =  .24114

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0287304    .011297     2.54   0.012      .006379    .0510818
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |   1.630028   .4953009     3.29   0.001     .6500627    2.609993
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_gbr |  (omitted)
_IyeaX~_1100 |  -.1546078   .0618051    -2.50   0.014    -.2768908   -.0323249
_IyeaX~_1200 |  -.1883582   .0885217    -2.13   0.035    -.3635006   -.0132158
_IyeaX~_1300 |  -.2353155    .121532    -1.94   0.055    -.4757696    .0051386
_IyeaX~_1400 |  -.1575656    .228237    -0.69   0.491    -.6091382    .2940069
_IyeaX~_1500 |   .0433262   .2295201     0.19   0.851     -.410785    .4974374
_IyeaX~_1600 |   .0302667   .1976642     0.15   0.879    -.3608167      .42135
_IyeaX~_1700 |  -.0304239   .2461645    -0.12   0.902    -.5174664    .4566186
_IyeaX~_1750 |  -.1008274   .2767753    -0.36   0.716    -.6484341    .4467793
_IyeaX~_1800 |  -.1535615   .3212423    -0.48   0.633    -.7891473    .4820244
_IyeaX~_1850 |   -.369544   .3626151    -1.02   0.310    -1.086987    .3478989
_IyeaX~_1900 |  -.3640082   .3725326    -0.98   0.330    -1.101073    .3730567
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |   .5980502   .2156172     2.77   0.006     .1714463    1.024654
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_fra |  (omitted)
_IyeaX~a1100 |  -.1552668   .0625258    -2.48   0.014    -.2789757   -.0315579
_IyeaX~a1200 |  -.1955519   .0915927    -2.14   0.035    -.3767703   -.0143335
_IyeaX~a1300 |  -.2536203   .1275543    -1.99   0.049    -.5059895   -.0012511
_IyeaX~a1400 |  -.1430408   .2205118    -0.65   0.518    -.5793288    .2932473
_IyeaX~a1500 |   .0075038   .2334592     0.03   0.974    -.4544011    .4694086
_IyeaX~a1600 |   .0467094   .2018531     0.23   0.817     -.352662    .4460808
_IyeaX~a1700 |  -.0990385    .246618    -0.40   0.689    -.5869783    .3889013
_IyeaX~a1750 |  -.1527957   .2751755    -0.56   0.580    -.6972371    .3916456
_IyeaX~a1800 |  -.2224749    .318641    -0.70   0.486     -.852914    .4079642
_IyeaX~a1850 |  -.4297742   .3544279    -1.21   0.228    -1.131019    .2714702
_IyeaX~a1900 |   -.517914   .3547069    -1.46   0.147     -1.21971    .1838823
 _Iyear_1100 |   .2105131   .0881953     2.39   0.018     .0360165    .3850098
 _Iyear_1200 |   .3976003   .1541278     2.58   0.011     .0926546    .7025459
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |    .277165   .2639332     1.05   0.296    -.2450333    .7993634
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |   2.554694   .6248124     4.09   0.000     1.318487      3.7909
   legor_deu |  (omitted)
_IyeaX~b1100 |  -.0286237   .0671394    -0.43   0.671    -.1614606    .1042133
_IyeaX~b1200 |   .1020854   .0887747     1.15   0.252    -.0735576    .2777284
_IyeaX~b1300 |   .1816018   .2000276     0.91   0.366    -.2141577    .5773612
_IyeaX~b1400 |   .3039399   .2402434     1.27   0.208    -.1713874    .7792673
_IyeaX~b1500 |   .5581229   .2627021     2.12   0.036     .0383605    1.077885
_IyeaX~b1600 |   .5653137   .2374035     2.38   0.019      .095605    1.035022
_IyeaX~b1700 |   .5095442   .2789987     1.83   0.070    -.0424616     1.06155
_IyeaX~b1750 |   .3779178   .2983072     1.27   0.207    -.2122903    .9681258
_IyeaX~b1800 |   .2181124   .3371036     0.65   0.519    -.4488553    .8850802
_IyeaX~b1850 |   .0575771   .3810307     0.15   0.880    -.6963015    .8114557
_IyeaX~b1900 |  -.1185233   .3875437    -0.31   0.760     -.885288    .6482414
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |   .7060133   .3109437     2.27   0.025     .0908035    1.321223
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |    1.35858   .4398678     3.09   0.002     .4882905    2.228869
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |   1.994678   .5438096     3.67   0.000     .9187372    3.070619
 _Iyear_1900 |  (omitted)
   legor_soc |  (omitted)
_IyeaX~c1100 |  -.0570613   .0623639    -0.91   0.362    -.1804497    .0663272
_IyeaX~c1200 |  -.0209745   .0927035    -0.23   0.821    -.2043906    .1624417
_IyeaX~c1300 |  -.0936917   .1190278    -0.79   0.433    -.3291912    .1418077
_IyeaX~c1400 |   .1019298   .2197869     0.46   0.644    -.3329241    .5367836
_IyeaX~c1500 |   .2209593   .2302886     0.96   0.339    -.2346724     .676591
_IyeaX~c1600 |   .1949629   .1957296     1.00   0.321     -.192293    .5822187
_IyeaX~c1700 |   .1172354   .2363416     0.50   0.621    -.3503722     .584843
_IyeaX~c1750 |   .1227543   .2635117     0.47   0.642      -.39861    .6441187
_IyeaX~c1800 |   .1322809   .3062955     0.43   0.667    -.4737322    .7382941
_IyeaX~c1850 |   .0359532   .3453373     0.10   0.917     -.647305    .7192114
_IyeaX~c1900 |  -.0109025   .3501325    -0.03   0.975    -.7036483    .6818432
ln_owor~1100 |   .0091501   .0036516     2.51   0.013     .0019253    .0163748
ln_owor~1200 |   .0251635   .0073919     3.40   0.001     .0105384    .0397887
ln_owor~1300 |   .0401563   .0107716     3.73   0.000     .0188444    .0614682
ln_owor~1400 |   .0154853   .0121113     1.28   0.203    -.0084773    .0394478
ln_owor~1500 |   .0414125   .0130769     3.17   0.002     .0155396    .0672854
ln_owor~1600 |   .0538156   .0121626     4.42   0.000     .0297516    .0778797
ln_owor~1700 |   .0621034   .0156337     3.97   0.000     .0311717    .0930352
ln_owor~1750 |   .0462067   .0198613     2.33   0.022     .0069106    .0855028
ln_owor~1800 |   .0648664   .0214374     3.03   0.003      .022452    .1072809
ln_owor~1850 |   .0830255    .023155     3.59   0.000     .0372127    .1288383
ln_owor~1900 |   .1170012   .0255376     4.58   0.000     .0664745    .1675279
ln_elev~1100 |  -.0052006   .0119113    -0.44   0.663    -.0287674    .0183661
ln_elev~1200 |   -.028347   .0241666    -1.17   0.243    -.0761612    .0194673
ln_elev~1300 |  -.0523432    .034738    -1.51   0.134    -.1210731    .0163867
ln_elev~1400 |  -.0080461   .0370546    -0.22   0.828    -.0813595    .0652674
ln_elev~1500 |   -.048655   .0447292    -1.09   0.279    -.1371529    .0398429
ln_elev~1600 |  -.0862014   .0487809    -1.77   0.080    -.1827156    .0103128
ln_elev~1700 |  -.1392991   .0599232    -2.32   0.022    -.2578587   -.0207395
ln_elev~1750 |  -.1472276   .0655973    -2.24   0.027    -.2770135   -.0174418
ln_elev~1800 |  -.1774943   .0716933    -2.48   0.015    -.3193413   -.0356474
ln_elev~1850 |  -.1892689   .0792659    -2.39   0.018    -.3460984   -.0324393
ln_elev~1900 |  -.2463604   .0955767    -2.58   0.011    -.4354612   -.0572596
ln_trop~1100 |   .0010776   .0025253     0.43   0.670    -.0039188    .0060739
ln_trop~1200 |  -.0026361   .0052295    -0.50   0.615    -.0129828    .0077106
ln_trop~1300 |  -.0038977   .0080297    -0.49   0.628    -.0197846    .0119891
ln_trop~1400 |   .0229857   .0092245     2.49   0.014     .0047347    .0412366
ln_trop~1500 |   .0142377   .0099596     1.43   0.155    -.0054675     .033943
ln_trop~1600 |   .0059662   .0102549     0.58   0.562    -.0143234    .0262558
ln_trop~1700 |   .0104057   .0128461     0.81   0.419    -.0150106    .0358219
ln_trop~1750 |   .0172393   .0131217     1.31   0.191    -.0087222    .0432009
ln_trop~1800 |   .0073177   .0146639     0.50   0.619    -.0216952    .0363305
ln_trop~1850 |   .0019849   .0162636     0.12   0.903     -.030193    .0341628
ln_trop~1900 |  -.0088821    .018225    -0.49   0.627    -.0449408    .0271766
ln_rugg~1100 |  -.0069232    .011815    -0.59   0.559    -.0302994    .0164531
ln_rugg~1200 |  -.0106553   .0237535    -0.45   0.654    -.0576522    .0363416
ln_rugg~1300 |   .0028506   .0325279     0.09   0.930    -.0615066    .0672078
ln_rugg~1400 |  -.0188029   .0433148    -0.43   0.665    -.1045023    .0668966
ln_rugg~1500 |   .0066045   .0502402     0.13   0.896     -.092797     .106006
ln_rugg~1600 |   .0238884   .0535313     0.45   0.656    -.0820246    .1298013
ln_rugg~1700 |   .0384608   .0664442     0.58   0.564    -.0930008    .1699223
ln_rugg~1750 |   .0443378   .0778901     0.57   0.570    -.1097696    .1984453
ln_rugg~1800 |   .0667037   .0850888     0.78   0.435    -.1016466    .2350541
ln_rugg~1850 |    .058602   .0888751     0.66   0.511    -.1172396    .2344435
ln_rugg~1900 |   .1204591   .1063228     1.13   0.259    -.0899032    .3308214
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |   .3498731    .305466     1.15   0.254     -.254499    .9542451
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |   1.172211   .3852747     3.04   0.003     .4099354    1.934486
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       _cons |   12.64314   .0314979   401.40   0.000     12.58082    12.70546
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Identity of colonizer (Col 5)
. xi: areg ln_population ln_wpot_post i.year*colony_esp i.year*colony_gbr i.year*colony_fr
> a i.year*colony_prt colony_oeu `ln_oworld_flexible' `ln_elevation_flexible' `ln_tropical
> _flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*colony~p   _IyeaXcol_#         (coded as above)
i.year*colony~r   _IyeaXcola#         (coded as above)
i.year*colony~a   _IyeaXcolb#         (coded as above)
i.year*colony~t   _IyeaXcolc#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 81, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9909
                                                       Adj R-squared =  0.9893
                                                       Root MSE      =  .23741

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0326835   .0105433     3.10   0.002     .0118233    .0535437
 _Iyear_1100 |   .1633472   .0651045     2.51   0.013     .0345363     .292158
 _Iyear_1200 |   .3944762   .1292896     3.05   0.003     .1386736    .6502789
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |   .8585164   .2656862     3.23   0.002     .3328498    1.384183
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |   2.384283   .4652829     5.12   0.000      1.46371    3.304857
  colony_esp |  (omitted)
_IyeaX~_1100 |   .0462587   .0661434     0.70   0.486    -.0846077    .1771251
_IyeaX~_1200 |    .103934   .1241633     0.84   0.404    -.1417262    .3495942
_IyeaX~_1300 |   .2059721    .174364     1.18   0.240    -.1390113    .5509555
_IyeaX~_1400 |   .3271446   .2618769     1.25   0.214    -.1909853    .8452745
_IyeaX~_1500 |   .4687662   .2946119     1.59   0.114    -.1141308    1.051663
_IyeaX~_1600 |   .6007665   .4338293     1.38   0.169    -.2575753    1.459108
_IyeaX~_1700 |   .6874141   .5550903     1.24   0.218    -.4108457    1.785674
_IyeaX~_1750 |   .8522012   .6763119     1.26   0.210    -.4858984    2.190301
_IyeaX~_1800 |   .9242109   .7686151     1.20   0.231    -.5965129    2.444935
_IyeaX~_1850 |   .9873833   .8686581     1.14   0.258    -.7312781    2.706045
_IyeaX~_1900 |   1.145263    .990479     1.16   0.250    -.8144239     3.10495
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |   .3563028   .2043314     1.74   0.084    -.0479718    .7605774
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |   1.416902   .3421788     4.14   0.000     .7398932    2.093912
 _Iyear_1800 |   1.662994   .3664351     4.54   0.000     .9379932    2.387995
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_gbr |  (omitted)
_IyeaX~a1100 |  -.0967111   .0276518    -3.50   0.001    -.1514208   -.0420013
_IyeaX~a1200 |  -.1896816   .0558484    -3.40   0.001     -.300179   -.0791842
_IyeaX~a1300 |  -.2331522   .0820874    -2.84   0.005    -.3955641   -.0707403
_IyeaX~a1400 |  -.2603887    .116963    -2.23   0.028    -.4918029   -.0289746
_IyeaX~a1500 |  -.2191085   .1040101    -2.11   0.037    -.4248951    -.013322
_IyeaX~a1600 |  -.1999853   .1047433    -1.91   0.058    -.4072224    .0072518
_IyeaX~a1700 |  -.1967421   .1394978    -1.41   0.161    -.4727419    .0792577
_IyeaX~a1750 |  -.2407876   .1482089    -1.62   0.107    -.5340226    .0524473
_IyeaX~a1800 |  -.2990867   .1601178    -1.87   0.064    -.6158837    .0177102
_IyeaX~a1850 |  -.3966296   .1659854    -2.39   0.018    -.7250358   -.0682234
_IyeaX~a1900 |  -.3066968   .1938776    -1.58   0.116    -.6902885    .0768948
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |   .5805384   .1868796     3.11   0.002     .2107925    .9502843
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |   1.247629   .3191802     3.91   0.000     .6161226    1.879134
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |   1.937087   .3752663     5.16   0.000     1.194614    2.679561
 _Iyear_1900 |  (omitted)
  colony_fra |  (omitted)
_IyeaX~b1100 |   -.097179   .0299694    -3.24   0.002    -.1564742   -.0378837
_IyeaX~b1200 |  -.1918535   .0588724    -3.26   0.001    -.3083339    -.075373
_IyeaX~b1300 |  -.2219808   .0836009    -2.66   0.009    -.3873873   -.0565744
_IyeaX~b1400 |  -.2136155   .0975859    -2.19   0.030    -.4066916   -.0205395
_IyeaX~b1500 |  -.2251853   .1181035    -1.91   0.059     -.458856    .0084854
_IyeaX~b1600 |   -.193784   .1104639    -1.75   0.082    -.4123396    .0247716
_IyeaX~b1700 |  -.2560853   .1526312    -1.68   0.096    -.5580699    .0458994
_IyeaX~b1750 |  -.2422496   .1682687    -1.44   0.152    -.5751734    .0906742
_IyeaX~b1800 |  -.3112144   .1818304    -1.71   0.089    -.6709703    .0485414
_IyeaX~b1850 |  -.4316948   .1886815    -2.29   0.024    -.8050058   -.0583838
_IyeaX~b1900 |  -.4841757   .2024584    -2.39   0.018    -.8847445   -.0836068
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_prt |  (omitted)
_IyeaX~c1100 |  -.0483935   .0423692    -1.14   0.255     -.132222    .0354349
_IyeaX~c1200 |  -.0971165   .0867922    -1.12   0.265     -.268837    .0746039
_IyeaX~c1300 |   -.091284   .1304326    -0.70   0.485    -.3493481    .1667801
_IyeaX~c1400 |  -.0251356   .1575564    -0.16   0.873    -.3368648    .2865935
_IyeaX~c1500 |   .0076515   .1894926     0.04   0.968    -.3672642    .3825671
_IyeaX~c1600 |   .0314264   .2064068     0.15   0.879    -.3769546    .4398073
_IyeaX~c1700 |  -.0080689   .2273581    -0.04   0.972    -.4579025    .4417648
_IyeaX~c1750 |  -.0861489   .2519371    -0.34   0.733    -.5846126    .4123149
_IyeaX~c1800 |  -.1525662   .2773692    -0.55   0.583     -.701348    .3962156
_IyeaX~c1850 |  -.3183046   .2687716    -1.18   0.238    -.8500758    .2134666
_IyeaX~c1900 |  -.4217542    .291533    -1.45   0.150    -.9985593     .155051
  colony_oeu |  (omitted)
ln_owor~1100 |   .0090092   .0047078     1.91   0.058    -.0003054    .0183238
ln_owor~1200 |   .0247896   .0082871     2.99   0.003     .0083933    .0411858
ln_owor~1300 |   .0377857    .010761     3.51   0.001     .0164948    .0590766
ln_owor~1400 |    .017135   .0145221     1.18   0.240    -.0115973    .0458673
ln_owor~1500 |   .0442843   .0140477     3.15   0.002     .0164905    .0720781
ln_owor~1600 |   .0559645   .0129371     4.33   0.000     .0303681    .0815608
ln_owor~1700 |    .066388   .0172755     3.84   0.000     .0322081    .1005679
ln_owor~1750 |   .0468755   .0210084     2.23   0.027     .0053099    .0884411
ln_owor~1800 |   .0641028   .0219871     2.92   0.004     .0206008    .1076049
ln_owor~1850 |   .0820584   .0228491     3.59   0.000      .036851    .1272659
ln_owor~1900 |   .1197431   .0247392     4.84   0.000      .070796    .1686902
ln_elev~1100 |  -.0096424    .011039    -0.87   0.384    -.0314832    .0121984
ln_elev~1200 |  -.0350001   .0223365    -1.57   0.120    -.0791934    .0091931
ln_elev~1300 |  -.0608298   .0319091    -1.91   0.059    -.1239628    .0023032
ln_elev~1400 |  -.0143416   .0351507    -0.41   0.684    -.0838882    .0552049
ln_elev~1500 |  -.0493388   .0415894    -1.19   0.238    -.1316244    .0329469
ln_elev~1600 |  -.0830633   .0433246    -1.92   0.057     -.168782    .0026554
ln_elev~1700 |  -.1400653   .0531879    -2.63   0.009    -.2452989   -.0348317
ln_elev~1750 |  -.1494364   .0566198    -2.64   0.009    -.2614601   -.0374127
ln_elev~1800 |  -.1775807    .060998    -2.91   0.004    -.2982667   -.0568947
ln_elev~1850 |  -.1944387   .0648728    -3.00   0.003    -.3227912   -.0660862
ln_elev~1900 |  -.2485631   .0792139    -3.14   0.002    -.4052898   -.0918365
ln_trop~1100 |   .0013855    .002691     0.51   0.608    -.0039388    .0067098
ln_trop~1200 |  -.0010847   .0054605    -0.20   0.843    -.0118885    .0097192
ln_trop~1300 |  -.0010424   .0078424    -0.13   0.894    -.0165588     .014474
ln_trop~1400 |   .0218428   .0102867     2.12   0.036     .0014902    .0421954
ln_trop~1500 |    .013979   .0103989     1.34   0.181    -.0065955    .0345535
ln_trop~1600 |   .0046707   .0101121     0.46   0.645    -.0153363    .0246776
ln_trop~1700 |   .0090097   .0135282     0.67   0.507    -.0177561    .0357755
ln_trop~1750 |   .0160864   .0150315     1.07   0.287    -.0136539    .0458266
ln_trop~1800 |   .0075745   .0161152     0.47   0.639    -.0243097    .0394588
ln_trop~1850 |   .0030437   .0166924     0.18   0.856    -.0299827    .0360701
ln_trop~1900 |   -.008251   .0183578    -0.45   0.654    -.0445723    .0280703
ln_rugg~1100 |  -.0041545   .0127799    -0.33   0.746    -.0294398    .0211309
ln_rugg~1200 |  -.0048507   .0254558    -0.19   0.849    -.0552157    .0455143
ln_rugg~1300 |    .011792   .0343401     0.34   0.732    -.0561508    .0797348
ln_rugg~1400 |  -.0096582   .0439971    -0.22   0.827    -.0967075    .0773911
ln_rugg~1500 |   .0151995    .050143     0.30   0.762    -.0840097    .1144086
ln_rugg~1600 |   .0270021   .0495002     0.55   0.586    -.0709352    .1249394
ln_rugg~1700 |   .0442376   .0618688     0.72   0.476    -.0781713    .1666466
ln_rugg~1750 |   .0480561   .0676214     0.71   0.479    -.0857344    .1818466
ln_rugg~1800 |   .0636615   .0720148     0.88   0.378    -.0788215    .2061445
ln_rugg~1850 |   .0534855   .0744149     0.72   0.474    -.0937463    .2007173
ln_rugg~1900 |   .1063491   .0896635     1.19   0.238    -.0710524    .2837507
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |   .5252481   .2553861     2.06   0.042     .0199604    1.030536
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       _cons |   12.64319   .0307095   411.70   0.000     12.58243    12.70395
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Atlantic Trader (Col 6)
. xi: areg ln_population ln_wpot_post i.year*attrade `ln_oworld_flexible' `ln_elevation_fl
> exible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*attrade    _IyeaXatt_#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 59, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9900
                                                       Adj R-squared =  0.9886
                                                       Root MSE      =  .24653

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0328578   .0116588     2.82   0.006     .0097906     .055925
 _Iyear_1100 |   .1297952   .0709461     1.83   0.070    -.0105734    .2701637
 _Iyear_1200 |   .3175288   .1375895     2.31   0.023     .0453046     .589753
 _Iyear_1300 |   .4580423   .1815759     2.52   0.013     .0987901    .8172946
 _Iyear_1400 |   .2656262    .197087     1.35   0.180    -.1243153    .6555676
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |   .7918518   .2561704     3.09   0.002     .2850125    1.298691
 _Iyear_1700 |   1.218755   .3187905     3.82   0.000     .5880199    1.849489
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |   1.615297   .3947054     4.09   0.000     .8343628    2.396231
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |   2.406222   .5391415     4.46   0.000     1.339517    3.472926
     attrade |  (omitted)
_IyeaXa~1100 |   .0070801   .0380948     0.19   0.853    -.0682913    .0824515
_IyeaXa~1200 |   .0845921   .0751425     1.13   0.262    -.0640791    .2332633
_IyeaXa~1300 |   .2944264   .0825688     3.57   0.001     .1310619    .4577908
_IyeaXa~1400 |   .0985294   .0988136     1.00   0.321    -.0969758    .2940346
_IyeaXa~1500 |   .2039675   .1391835     1.47   0.145    -.0714105    .4793455
_IyeaXa~1600 |   .3236435   .1730613     1.87   0.064    -.0187625    .6660495
_IyeaXa~1700 |   .2462912   .2055692     1.20   0.233    -.1604324    .6530148
_IyeaXa~1750 |   .1447307   .1770437     0.82   0.415    -.2055546    .4950161
_IyeaXa~1800 |   .0533862   .1576158     0.34   0.735    -.2584605    .3652329
_IyeaXa~1850 |   .0041201    .185801     0.02   0.982    -.3634918     .371732
_IyeaXa~1900 |  -.1571405   .2705288    -0.58   0.562    -.6923884    .3781075
ln_owor~1100 |   .0151572   .0042095     3.60   0.000     .0068287    .0234857
ln_owor~1200 |    .036054   .0071814     5.02   0.000     .0218454    .0502626
ln_owor~1300 |   .0493564   .0089833     5.49   0.000     .0315826    .0671301
ln_owor~1400 |   .0322851   .0104507     3.09   0.002     .0116082     .052962
ln_owor~1500 |   .0558517   .0119722     4.67   0.000     .0321645    .0795389
ln_owor~1600 |   .0647582   .0110271     5.87   0.000     .0429408    .0865756
ln_owor~1700 |   .0760591    .013632     5.58   0.000     .0490877    .1030304
ln_owor~1750 |   .0594808   .0183703     3.24   0.002     .0231348    .0958268
ln_owor~1800 |   .0812774   .0192543     4.22   0.000     .0431824    .1193724
ln_owor~1850 |   .1058273   .0203585     5.20   0.000     .0655475    .1461071
ln_owor~1900 |   .1400503   .0227131     6.17   0.000     .0951118    .1849888
ln_elev~1100 |  -.0153562   .0117124    -1.31   0.192    -.0385294    .0078171
ln_elev~1200 |  -.0441666    .023634    -1.87   0.064    -.0909271    .0025939
ln_elev~1300 |  -.0665285   .0311993    -2.13   0.035    -.1282571   -.0047999
ln_elev~1400 |  -.0281419   .0339806    -0.83   0.409    -.0953733    .0390896
ln_elev~1500 |  -.0638015   .0413537    -1.54   0.125    -.1456209    .0180179
ln_elev~1600 |  -.0936224   .0432991    -2.16   0.032    -.1792907   -.0079541
ln_elev~1700 |  -.1580035   .0542986    -2.91   0.004    -.2654347   -.0505724
ln_elev~1750 |  -.1684586   .0607753    -2.77   0.006    -.2887039   -.0482132
ln_elev~1800 |  -.2031341   .0671941    -3.02   0.003    -.3360792    -.070189
ln_elev~1850 |  -.2261723   .0743398    -3.04   0.003    -.3732555   -.0790891
ln_elev~1900 |  -.2900511   .0905135    -3.20   0.002    -.4691344   -.1109678
ln_trop~1100 |  -.0039097   .0024153    -1.62   0.108    -.0086884    .0008689
ln_trop~1200 |   -.010905   .0049044    -2.22   0.028    -.0206084   -.0012016
ln_trop~1300 |  -.0108342   .0066556    -1.63   0.106    -.0240024    .0023341
ln_trop~1400 |   .0107988   .0075507     1.43   0.155    -.0041405    .0257381
ln_trop~1500 |   .0057938    .009041     0.64   0.523     -.012094    .0236816
ln_trop~1600 |  -.0005981   .0090843    -0.07   0.948    -.0185717    .0173755
ln_trop~1700 |    .002227    .010954     0.20   0.839    -.0194456    .0238997
ln_trop~1750 |   .0076134   .0112694     0.68   0.501    -.0146835    .0299102
ln_trop~1800 |  -.0050033   .0125154    -0.40   0.690    -.0297652    .0197587
ln_trop~1850 |  -.0163811    .013861    -1.18   0.239    -.0438055    .0110433
ln_trop~1900 |  -.0267641   .0159699    -1.68   0.096     -.058361    .0048328
ln_rugg~1100 |   .0051739   .0113347     0.46   0.649     -.017252    .0275999
ln_rugg~1200 |   .0133789   .0228072     0.59   0.558    -.0317457    .0585035
ln_rugg~1300 |    .033114   .0306399     1.08   0.282    -.0275078    .0937358
ln_rugg~1400 |   .0140886   .0396733     0.36   0.723    -.0644061    .0925832
ln_rugg~1500 |   .0440633   .0466249     0.95   0.346    -.0481852    .1363118
ln_rugg~1600 |   .0543927   .0492013     1.11   0.271    -.0429532    .1517387
ln_rugg~1700 |   .0805179   .0609185     1.32   0.189     -.040011    .2010467
ln_rugg~1750 |   .0823933   .0718193     1.15   0.253     -.059703    .2244896
ln_rugg~1800 |   .1048132   .0773785     1.35   0.178    -.0482819    .2579084
ln_rugg~1850 |   .1042731    .082113     1.27   0.206    -.0581896    .2667358
ln_rugg~1900 |   .1683029   .0978758     1.72   0.088    -.0253468    .3619525
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |   .4635419   .2433814     1.90   0.059    -.0179941    .9450779
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |   1.372738   .3552584     3.86   0.000     .6698506    2.075625
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |   1.855772    .434143     4.27   0.000     .9968092    2.714734
 _Iyear_1900 |  (omitted)
       _cons |   12.64244   .0325131   388.84   0.000     12.57812    12.70677
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Roman (Col 7)
. xi: areg ln_population ln_wpot_post i.year*roman `ln_oworld_flexible' `ln_elevation_flex
> ible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*roman      _IyeaXrom_#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 63, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9901
                                                       Adj R-squared =  0.9886
                                                       Root MSE      =  .24616

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0321992   .0117288     2.75   0.007     .0089935    .0554049
 _Iyear_1100 |   .1128718   .0696671     1.62   0.108    -.0249664      .25071
 _Iyear_1200 |   .2844356   .1350969     2.11   0.037      .017143    .5517282
 _Iyear_1300 |   .3891238   .1746738     2.23   0.028     .0435275    .7347201
 _Iyear_1400 |   .2326611   .1997992     1.16   0.246    -.1626466    .6279688
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |   .7413063   .2566447     2.89   0.005     .2335284    1.249084
 _Iyear_1700 |   1.154735    .318517     3.63   0.000     .5245417    1.784929
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |   1.537881   .3924731     3.92   0.000     .7613631    2.314398
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |   2.329027    .534133     4.36   0.000     1.272232    3.385822
       roman |  (omitted)
_IyeaXr~1100 |   .0633894   .0443036     1.43   0.155    -.0242665    .1510452
_IyeaXr~1200 |   .1668263   .0761601     2.19   0.030     .0161416     .317511
_IyeaXr~1300 |   .4190858   .0926438     4.52   0.000     .2357879    .6023838
_IyeaXr~1400 |   .1718517   .0968551     1.77   0.078    -.0197784    .3634818
_IyeaXr~1500 |   .3279717   .1202166     2.73   0.007     .0901203    .5658232
_IyeaXr~1600 |   .3718875   .1248247     2.98   0.003     .1249189    .6188562
_IyeaXr~1700 |   .3731395   .1561266     2.39   0.018     .0642392    .6820399
_IyeaXr~1750 |   .2994895   .1566276     1.91   0.058    -.0104022    .6093811
_IyeaXr~1800 |   .3052827   .1740119     1.75   0.082    -.0390041    .6495695
_IyeaXr~1850 |   .3249219    .206711     1.57   0.118    -.0840608    .7339047
_IyeaXr~1900 |   .1763798   .2457356     0.72   0.474    -.3098141    .6625737
ln_owor~1100 |   .0139091   .0043792     3.18   0.002     .0052447    .0225735
ln_owor~1200 |    .033494   .0075579     4.43   0.000     .0185405    .0484476
ln_owor~1300 |   .0438256   .0093978     4.66   0.000     .0252319    .0624194
ln_owor~1400 |   .0296965   .0111611     2.66   0.009     .0076139     .051779
ln_owor~1500 |   .0512246   .0126829     4.04   0.000     .0261313    .0763179
ln_owor~1600 |    .060515   .0116892     5.18   0.000     .0373876    .0836424
ln_owor~1700 |   .0709679   .0143803     4.94   0.000     .0425161    .0994197
ln_owor~1750 |   .0554303   .0188468     2.94   0.004     .0181414    .0927192
ln_owor~1800 |   .0761382   .0197591     3.85   0.000     .0370443    .1152322
ln_owor~1850 |   .0997667   .0209455     4.76   0.000     .0583255     .141208
ln_owor~1900 |   .1352811   .0232383     5.82   0.000     .0893036    .1812587
ln_elev~1100 |  -.0122954   .0116004    -1.06   0.291    -.0352469    .0106562
ln_elev~1200 |  -.0381883   .0233861    -1.63   0.105    -.0844583    .0080816
ln_elev~1300 |  -.0540903   .0302405    -1.79   0.076    -.1139218    .0057412
ln_elev~1400 |  -.0221965   .0345882    -0.64   0.522      -.09063    .0462371
ln_elev~1500 |  -.0532213   .0413014    -1.29   0.200    -.1349372    .0284946
ln_elev~1600 |  -.0845143   .0434958    -1.94   0.054    -.1705718    .0015431
ln_elev~1700 |  -.1464468   .0543673    -2.69   0.008    -.2540139   -.0388798
ln_elev~1750 |  -.1577009   .0608321    -2.59   0.011    -.2780587    -.037343
ln_elev~1800 |  -.1892669   .0668693    -2.83   0.005    -.3215695   -.0569643
ln_elev~1850 |  -.2097937   .0737282    -2.85   0.005    -.3556668   -.0639206
ln_elev~1900 |  -.2762031    .089775    -3.08   0.003    -.4538251   -.0985811
ln_trop~1100 |  -.0030634    .002486    -1.23   0.220     -.007982    .0018551
ln_trop~1200 |  -.0091834   .0050686    -1.81   0.072    -.0192118     .000845
ln_trop~1300 |  -.0071374   .0067984    -1.05   0.296    -.0205883    .0063135
ln_trop~1400 |   .0125461    .007945     1.58   0.117    -.0031732    .0282654
ln_trop~1500 |   .0088976   .0093673     0.95   0.344    -.0096358     .027431
ln_trop~1600 |   .0022235   .0093523     0.24   0.812    -.0162803    .0207273
ln_trop~1700 |   .0056361   .0112794     0.50   0.618    -.0166805    .0279528
ln_trop~1750 |   .0104912   .0115531     0.91   0.366     -.012367    .0333493
ln_trop~1800 |  -.0013727   .0127979    -0.11   0.915    -.0266936    .0239482
ln_trop~1850 |  -.0121188   .0141911    -0.85   0.395    -.0401964    .0159587
ln_trop~1900 |  -.0233431   .0162886    -1.43   0.154    -.0555704    .0088842
ln_rugg~1100 |   .0034183   .0113037     0.30   0.763    -.0189463    .0257829
ln_rugg~1200 |   .0091134   .0228531     0.40   0.691     -.036102    .0543288
ln_rugg~1300 |   .0228397   .0299031     0.76   0.446    -.0363243    .0820037
ln_rugg~1400 |   .0096981   .0401859     0.24   0.810    -.0698106    .0892069
ln_rugg~1500 |   .0358938   .0466943     0.77   0.443    -.0564921    .1282797
ln_rugg~1600 |    .045635   .0494303     0.92   0.358    -.0521641    .1434342
ln_rugg~1700 |   .0713174   .0611156     1.17   0.245    -.0496014    .1922361
ln_rugg~1750 |   .0751113   .0718556     1.05   0.298    -.0670567    .2172794
ln_rugg~1800 |   .0968886   .0773918     1.25   0.213     -.056233    .2500101
ln_rugg~1850 |   .0955432   .0820334     1.16   0.246    -.0667618    .2578482
ln_rugg~1900 |   .1628472   .0979678     1.66   0.099    -.0309845    .3566788
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |   .4049357   .2417358     1.68   0.096    -.0733446    .8832159
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |   1.312436   .3550051     3.70   0.000     .6100493    2.014822
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |    1.76452   .4300155     4.10   0.000      .913724    2.615316
 _Iyear_1900 |  (omitted)
       _cons |   12.64282   .0321416   393.35   0.000     12.57923    12.70642
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Protestant (Col 8)
. xi: areg ln_population ln_wpot_post i.year*protestant `ln_oworld_flexible' `ln_elevation
> _flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocod
> e)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*protes~t   _IyeaXpro_#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 65, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9902
                                                       Adj R-squared =  0.9888
                                                       Root MSE      =  .24426

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0280722   .0120479     2.33   0.021     .0042351    .0519092
 _Iyear_1100 |    .113742   .0716745     1.59   0.115    -.0280677    .2555517
 _Iyear_1200 |   .2777969   .1387603     2.00   0.047     .0032562    .5523375
 _Iyear_1300 |   .3728696   .1841041     2.03   0.045     .0086152     .737124
 _Iyear_1400 |   .1977442   .1996239     0.99   0.324    -.1972166    .5927049
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |   .7323962   .2635612     2.78   0.006     .2109339    1.253859
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |   1.482313    .391574     3.79   0.000     .7075747    2.257052
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |   2.184055   .5262984     4.15   0.000     1.142761     3.22535
  protestant |  (omitted)
_IyeaXp~1100 |   .0499751   .0359804     1.39   0.167    -.0212129    .1211631
_IyeaXp~1200 |   .1573438   .0639705     2.46   0.015     .0307766     .283911
_IyeaXp~1300 |   .3940413    .092846     4.24   0.000     .2103432    .5777393
_IyeaXp~1400 |   .2499382   .1072007     2.33   0.021      .037839    .4620374
_IyeaXp~1500 |   .2485903   .1397485     1.78   0.078    -.0279056    .5250862
_IyeaXp~1600 |   .3338319   .1286732     2.59   0.011     .0792487     .588415
_IyeaXp~1700 |   .4220958   .1434406     2.94   0.004     .1382951    .7058966
_IyeaXp~1750 |   .3877416   .1500565     2.58   0.011     .0908511    .6846322
_IyeaXp~1800 |   .4202747   .1722233     2.44   0.016     .0795267    .7610227
_IyeaXp~1850 |   .5653667   .1970711     2.87   0.005     .1754567    .9552767
_IyeaXp~1900 |    .570937   .2108484     2.71   0.008     .1537683    .9881057
ln_owor~1100 |   .0142044   .0043834     3.24   0.002     .0055318    .0228771
ln_owor~1200 |   .0337388   .0075051     4.50   0.000     .0188898    .0485878
ln_owor~1300 |   .0444658   .0090883     4.89   0.000     .0264844    .0624471
ln_owor~1400 |   .0283867    .010758     2.64   0.009     .0071017    .0496716
ln_owor~1500 |   .0531039   .0120286     4.41   0.000      .029305    .0769028
ln_owor~1600 |   .0614311   .0111204     5.52   0.000     .0394291    .0834331
ln_owor~1700 |   .0699916   .0140555     4.98   0.000     .0421825    .0978007
ln_owor~1750 |   .0576586   .0182462     3.16   0.002      .021558    .0937592
ln_owor~1800 |    .077777    .019203     4.05   0.000     .0397833    .1157706
ln_owor~1850 |   .0986505   .0204061     4.83   0.000     .0582765    .1390245
ln_owor~1900 |   .1310374   .0228902     5.72   0.000     .0857486    .1763263
ln_elev~1100 |  -.0126203   .0118926    -1.06   0.291    -.0361501    .0109096
ln_elev~1200 |  -.0375146   .0239226    -1.57   0.119     -.084846    .0098169
ln_elev~1300 |  -.0524701   .0317577    -1.65   0.101    -.1153036    .0103633
ln_elev~1400 |   -.016657   .0346049    -0.48   0.631    -.0851236    .0518097
ln_elev~1500 |  -.0556497   .0420665    -1.32   0.188    -.1388792    .0275799
ln_elev~1600 |  -.0840045   .0445399    -1.89   0.062    -.1721278    .0041188
ln_elev~1700 |  -.1406608   .0550212    -2.56   0.012    -.2495217   -.0317999
ln_elev~1750 |  -.1515918   .0603849    -2.51   0.013    -.2710648   -.0321189
ln_elev~1800 |  -.1814824   .0664311    -2.73   0.007    -.3129181   -.0500468
ln_elev~1850 |  -.1942241   .0734883    -2.64   0.009    -.3396226   -.0488257
ln_elev~1900 |   -.252793   .0886409    -2.85   0.005    -.4281713   -.0774148
ln_trop~1100 |  -.0031311    .002641    -1.19   0.238    -.0083563    .0020942
ln_trop~1200 |  -.0089311   .0053049    -1.68   0.095    -.0194269    .0015648
ln_trop~1300 |  -.0065238   .0068878    -0.95   0.345    -.0201514    .0071038
ln_trop~1400 |   .0139951   .0077764     1.80   0.074    -.0013908     .029381
ln_trop~1500 |   .0081883   .0091477     0.90   0.372    -.0099107    .0262873
ln_trop~1600 |   .0024545    .009278     0.26   0.792    -.0159023    .0208113
ln_trop~1700 |   .0074452   .0114071     0.65   0.515    -.0151239    .0300144
ln_trop~1750 |   .0109725   .0114823     0.96   0.341    -.0117456    .0336905
ln_trop~1800 |  -.0003826   .0128314    -0.03   0.976    -.0257699    .0250046
ln_trop~1850 |  -.0087749   .0143938    -0.61   0.543    -.0372534    .0197035
ln_trop~1900 |  -.0178682     .01665    -1.07   0.285    -.0508105    .0150742
ln_rugg~1100 |    .004985   .0112175     0.44   0.658    -.0172091    .0271791
ln_rugg~1200 |   .0131194   .0225325     0.58   0.561    -.0314616    .0577004
ln_rugg~1300 |   .0329087   .0294879     1.12   0.266    -.0254339    .0912513
ln_rugg~1400 |   .0125723   .0393289     0.32   0.750    -.0652409    .0903856
ln_rugg~1500 |   .0431008   .0461059     0.93   0.352    -.0481209    .1343224
ln_rugg~1600 |    .054214   .0488239     1.11   0.269    -.0423852    .1508133
ln_rugg~1700 |   .0800891   .0604248     1.33   0.187    -.0394629    .1996411
ln_rugg~1750 |   .0843399   .0711298     1.19   0.238    -.0563921    .2250719
ln_rugg~1800 |   .1063363   .0767676     1.39   0.168    -.0455503    .2582228
ln_rugg~1850 |   .1057959    .081367     1.30   0.196    -.0551907    .2667825
ln_rugg~1900 |    .168985   .0972404     1.74   0.085    -.0234074    .3613774
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |   .4140282   .2473425     1.67   0.097     -.075345    .9034014
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |   1.114854   .3233084     3.45   0.001     .4751807    1.754528
 _Iyear_1750 |   1.266797   .3536784     3.58   0.000      .567036    1.966559
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |   1.662944   .4293809     3.87   0.000     .8134031    2.512484
 _Iyear_1900 |  (omitted)
       _cons |   12.64102   .0315841   400.23   0.000     12.57853    12.70351
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Distance from coast (Col 9)
. xi: areg ln_population ln_wpot_post `ln_dist_coast_flexible' `ln_oworld_flexible' `ln_el
> evation_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster
> (isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 67,   129) =   66.35
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9900
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24783

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0338478   .0124625     2.72   0.008     .0091904    .0585053
ln_dist_~100 |  -.0014597   .0108324    -0.13   0.893    -.0228918    .0199723
ln_dist_~200 |  -.0081402   .0217312    -0.37   0.709    -.0511358    .0348555
ln_dist_~300 |  -.0272754   .0300375    -0.91   0.366    -.0867052    .0321544
ln_dist_~400 |   .0102865   .0398942     0.26   0.797    -.0686452    .0892183
ln_dist_~500 |  -.0228229    .040817    -0.56   0.577    -.1035804    .0579345
ln_dist_~600 |  -.0170805   .0417268    -0.41   0.683    -.0996379    .0654769
ln_dist_~700 |  -.0071681   .0497517    -0.14   0.886    -.1056031     .091267
ln_dist_~750 |   .0164883   .0553569     0.30   0.766    -.0930367    .1260133
ln_dist_~800 |   .0239181   .0620434     0.39   0.700    -.0988363    .1466726
ln_dist_~850 |   .0482124   .0680656     0.71   0.480    -.0864569    .1828818
ln_dist_~900 |  -.0040195   .0795806    -0.05   0.960    -.1614717    .1534326
ln_owor~1100 |   .0153778   .0038944     3.95   0.000     .0076727    .0230829
ln_owor~1200 |   .0377798   .0070237     5.38   0.000     .0238832    .0516765
ln_owor~1300 |   .0552598   .0093895     5.89   0.000     .0366825     .073837
ln_owor~1400 |    .032377   .0112528     2.88   0.005     .0101131    .0546409
ln_owor~1500 |   .0602256   .0125006     4.82   0.000     .0354928    .0849584
ln_owor~1600 |   .0698567   .0116775     5.98   0.000     .0467525    .0929609
ln_owor~1700 |   .0793887   .0143328     5.54   0.000     .0510309    .1077464
ln_owor~1750 |   .0585247    .020848     2.81   0.006     .0172764     .099773
ln_owor~1800 |   .0786406   .0220768     3.56   0.001     .0349611    .1223202
ln_owor~1850 |   .1003474   .0230464     4.35   0.000     .0547495    .1459454
ln_owor~1900 |   .1378415   .0260021     5.30   0.000     .0863957    .1892873
ln_elev~1100 |  -.0138016   .0170465    -0.81   0.420    -.0475286    .0199254
ln_elev~1200 |  -.0369181   .0342072    -1.08   0.282     -.104598    .0307617
ln_elev~1300 |  -.0425866   .0441915    -0.96   0.337    -.1300206    .0448473
ln_elev~1400 |  -.0438056   .0531559    -0.82   0.411    -.1489759    .0613647
ln_elev~1500 |  -.0422009   .0598733    -0.70   0.482    -.1606617    .0762599
ln_elev~1600 |  -.0827393   .0586882    -1.41   0.161    -.1988552    .0333767
ln_elev~1700 |  -.1568648   .0713937    -2.20   0.030    -.2981189   -.0156107
ln_elev~1750 |  -.1928196   .0779816    -2.47   0.015    -.3471082    -.038531
ln_elev~1800 |  -.2337701   .0856643    -2.73   0.007    -.4032591   -.0642812
ln_elev~1850 |  -.2850178   .0921257    -3.09   0.002    -.4672908   -.1027449
ln_elev~1900 |  -.2800077   .1137653    -2.46   0.015    -.5050951   -.0549204
ln_trop~1100 |  -.0040369   .0022429    -1.80   0.074    -.0084745    .0004006
ln_trop~1200 |  -.0119602   .0045797    -2.61   0.010    -.0210212   -.0028991
ln_trop~1300 |  -.0144537   .0063533    -2.27   0.025     -.027024   -.0018835
ln_trop~1400 |    .010548   .0074341     1.42   0.158    -.0041606    .0252567
ln_trop~1500 |   .0031429   .0086262     0.36   0.716    -.0139243    .0202101
ln_trop~1600 |    -.00385   .0086333    -0.45   0.656    -.0209312    .0132312
ln_trop~1700 |   .0000313   .0104354     0.00   0.998    -.0206154     .020678
ln_trop~1750 |    .007737   .0107998     0.72   0.475    -.0136307    .0291047
ln_trop~1800 |  -.0038419   .0118548    -0.32   0.746    -.0272969     .019613
ln_trop~1850 |  -.0136658   .0131547    -1.04   0.301    -.0396927    .0123611
ln_trop~1900 |  -.0254197   .0154042    -1.65   0.101    -.0558972    .0050578
ln_rugg~1100 |   .0038127   .0141581     0.27   0.788    -.0241996    .0318249
ln_rugg~1200 |   .0060308   .0278794     0.22   0.829    -.0491293    .0611908
ln_rugg~1300 |   .0085517   .0380081     0.22   0.822    -.0666483    .0837517
ln_rugg~1400 |   .0245382   .0428908     0.57   0.568    -.0603222    .1093987
ln_rugg~1500 |   .0228369   .0524044     0.44   0.664    -.0808465    .1265203
ln_rugg~1600 |   .0393879    .052453     0.75   0.454    -.0643915    .1431674
ln_rugg~1700 |   .0747548   .0648758     1.15   0.251    -.0536036    .2031133
ln_rugg~1750 |   .0985091   .0741536     1.33   0.186    -.0482057    .2452238
ln_rugg~1800 |   .1276802   .0795474     1.61   0.111    -.0297063    .2850666
ln_rugg~1850 |   .1505307   .0793335     1.90   0.060    -.0064327    .3074941
ln_rugg~1900 |   .1628619   .0970187     1.68   0.096    -.0290919    .3548158
 _Iyear_1100 |   .1271224   .0721873     1.76   0.081    -.0157019    .2699466
 _Iyear_1200 |   .3104517   .1460609     2.13   0.035     .0214666    .5994368
 _Iyear_1300 |   .4362346   .1916087     2.28   0.024      .057132    .8153372
 _Iyear_1400 |   .3104089   .2057792     1.51   0.134    -.0967302     .717548
 _Iyear_1500 |    .436661   .2546167     1.71   0.089    -.0671045    .9404264
 _Iyear_1600 |   .8008086   .2650951     3.02   0.003     .2763114    1.325306
 _Iyear_1700 |   1.241398   .3229081     3.84   0.000     .6025162    1.880279
 _Iyear_1750 |   1.441513   .3552639     4.06   0.000     .7386149    2.144412
 _Iyear_1800 |    1.68867   .3895133     4.34   0.000      .918008    2.459331
 _Iyear_1850 |   1.986496   .4221804     4.71   0.000     1.151202     2.82179
 _Iyear_1900 |   2.368309   .5217003     4.54   0.000     1.336112    3.400505
       _cons |   12.64237   .0325405   388.51   0.000     12.57799    12.70675
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Slave exports (Col 10)
. xi: areg ln_population ln_wpot_post `ln_export_flexible' `ln_oworld_flexible' `ln_elevat
> ion_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(iso
> code)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 62,   129) =   65.79
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9903
                                                       Adj R-squared =  0.9890
                                                       Root MSE      =   .2428

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0336778   .0114295     2.95   0.004     .0110644    .0562913
ln_expo~1100 |  (omitted)
ln_expo~1200 |  (omitted)
ln_expo~1300 |  (omitted)
ln_expo~1400 |  (omitted)
ln_expo~1500 |  (omitted)
ln_expo~1600 |   .0017854   .0045419     0.39   0.695    -.0072009    .0107717
ln_expo~1700 |   .0035508   .0068954     0.51   0.607    -.0100919    .0171934
ln_expo~1750 |  -.0026005   .0102795    -0.25   0.801    -.0229387    .0177377
ln_expo~1800 |  -.0084475   .0119253    -0.71   0.480    -.0320421    .0151471
ln_expo~1850 |   -.026024   .0102953    -2.53   0.013    -.0463935   -.0056545
ln_expo~1900 |  -.0511675   .0156809    -3.26   0.001    -.0821925   -.0201425
ln_owor~1100 |    .015235   .0040381     3.77   0.000     .0072456    .0232244
ln_owor~1200 |   .0369835   .0067769     5.46   0.000     .0235753    .0503917
ln_owor~1300 |   .0525915   .0085759     6.13   0.000      .035624    .0695591
ln_owor~1400 |   .0333853   .0098121     3.40   0.001     .0139717    .0527988
ln_owor~1500 |   .0580732   .0112487     5.16   0.000     .0358175    .0803289
ln_owor~1600 |   .0683879   .0102856     6.65   0.000     .0480376    .0887383
ln_owor~1700 |      .0787   .0127735     6.16   0.000     .0534273    .1039727
ln_owor~1750 |   .0604183   .0177754     3.40   0.001     .0252493    .0955873
ln_owor~1800 |   .0815372   .0186318     4.38   0.000     .0446736    .1184007
ln_owor~1850 |   .1057259    .019633     5.39   0.000     .0668816    .1445703
ln_owor~1900 |   .1388012    .022286     6.23   0.000     .0947078    .1828945
ln_elev~1100 |  -.0155791   .0115512    -1.35   0.180    -.0384334    .0072751
ln_elev~1200 |  -.0468305   .0237119    -1.97   0.050    -.0937451    .0000841
ln_elev~1300 |  -.0758003   .0324163    -2.34   0.021    -.1399367   -.0116638
ln_elev~1400 |  -.0312576   .0336445    -0.93   0.355     -.097824    .0353089
ln_elev~1500 |  -.0701687   .0419148    -1.67   0.097    -.1530981    .0127607
ln_elev~1600 |  -.1056608   .0446167    -2.37   0.019     -.193936   -.0173856
ln_elev~1700 |   -.169479   .0545943    -3.10   0.002    -.2774952   -.0614629
ln_elev~1750 |  -.1694172    .060193    -2.81   0.006    -.2885105   -.0503239
ln_elev~1800 |  -.1938117   .0647157    -2.99   0.003    -.3218532   -.0657702
ln_elev~1850 |  -.1844239   .0656264    -2.81   0.006    -.3142674   -.0545804
ln_elev~1900 |  -.2030497   .0796236    -2.55   0.012    -.3605869   -.0455126
ln_trop~1100 |   -.003964   .0022739    -1.74   0.084     -.008463    .0005349
ln_trop~1200 |  -.0115536   .0046181    -2.50   0.014    -.0206906   -.0024166
ln_trop~1300 |  -.0130915   .0063422    -2.06   0.041    -.0256398   -.0005433
ln_trop~1400 |   .0100162   .0071197     1.41   0.162    -.0040703    .0241028
ln_trop~1500 |   .0042338   .0085926     0.49   0.623    -.0127668    .0212344
ln_trop~1600 |  -.0037068   .0093945    -0.39   0.694    -.0222941    .0148804
ln_trop~1700 |  -.0011685    .011718    -0.10   0.921    -.0243529    .0220159
ln_trop~1750 |   .0080861   .0137403     0.59   0.557    -.0190995    .0352717
ln_trop~1800 |  -.0010342   .0152897    -0.07   0.946    -.0312852    .0292168
ln_trop~1850 |  -.0039926   .0153517    -0.26   0.795    -.0343663    .0263812
ln_trop~1900 |  -.0014626   .0184986    -0.08   0.937    -.0380627    .0351374
ln_rugg~1100 |    .005212   .0113269     0.46   0.646    -.0171984    .0276225
ln_rugg~1200 |   .0138342    .022835     0.61   0.546    -.0313454    .0590137
ln_rugg~1300 |   .0346987   .0310152     1.12   0.265    -.0266657    .0960632
ln_rugg~1400 |   .0144524   .0395206     0.37   0.715      -.06374    .0926449
ln_rugg~1500 |   .0449833   .0465767     0.97   0.336    -.0471698    .1371364
ln_rugg~1600 |   .0587691   .0494512     1.19   0.237    -.0390713    .1566095
ln_rugg~1700 |   .0871175   .0613532     1.42   0.158    -.0342713    .2085063
ln_rugg~1750 |   .0776124   .0736322     1.05   0.294    -.0680708    .2232955
ln_rugg~1800 |   .0885802    .078705     1.13   0.262    -.0671396       .2443
ln_rugg~1850 |   .0482956   .0745402     0.65   0.518     -.099184    .1957752
ln_rugg~1900 |   .0580129    .087325     0.66   0.508    -.1147616    .2307875
 _Iyear_1100 |   .1310237    .070362     1.86   0.065    -.0081892    .2702366
 _Iyear_1200 |   .3322073   .1390153     2.39   0.018     .0571622    .6072524
 _Iyear_1300 |   .5091315   .1907196     2.67   0.009     .1317882    .8864748
 _Iyear_1400 |   .2828367   .1962047     1.44   0.152     -.105359    .6710324
 _Iyear_1500 |   .4986425   .2485235     2.01   0.047     .0069326    .9903523
 _Iyear_1600 |   .8573707   .2673708     3.21   0.002      .328371     1.38637
 _Iyear_1700 |   1.282767   .3238246     3.96   0.000     .6420724    1.923462
 _Iyear_1750 |   1.377592    .356678     3.86   0.000     .6718955    2.083288
 _Iyear_1800 |     1.5604   .3865951     4.04   0.000     .7955117    2.325287
 _Iyear_1850 |   1.616132   .3857678     4.19   0.000     .8528813    2.379383
 _Iyear_1900 |   1.907034   .4733357     4.03   0.000     .9705282    2.843541
       _cons |    12.6423   .0322809   391.63   0.000     12.57843    12.70617
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * All controls (Col 11)
. xi: areg ln_population ln_wpot_post `ln_disteq_flexible' `malaria_flexible' i.year*legor
> _gbr i.year*legor_fra i.year*legor_deu i.year*legor_soc i.year*colony_esp i.year*colony_
> gbr i.year*colony_fra i.year*colony_prt colony_oeu i.year*attrade i.year*roman i.year*pr
> otestant `ln_dist_coast_flexible' `ln_export_flexible' `ln_oworld_flexible' `ln_elevatio
> n_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isoco
> de)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*legor_~r   _IyeaXleg_#         (coded as above)
i.year*legor~ra   _IyeaXlega#         (coded as above)
i.year*legor_~u   _IyeaXlegb#         (coded as above)
i.year*legor_~c   _IyeaXlegc#         (coded as above)
i.year*colony~p   _IyeaXcol_#         (coded as above)
i.year*colony~r   _IyeaXcola#         (coded as above)
i.year*colony~a   _IyeaXcolb#         (coded as above)
i.year*colony~t   _IyeaXcolc#         (coded as above)
i.year*attrade    _IyeaXatt_#         (coded as above)
i.year*roman      _IyeaXrom_#         (coded as above)
i.year*protes~t   _IyeaXpro_#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 129, 129)  =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9924
                                                       Adj R-squared =  0.9902
                                                       Root MSE      =  .22094

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0307167   .0162605     1.89   0.061    -.0014552    .0628885
ln_diste~100 |   .0003286   .0130468     0.03   0.980    -.0254847     .026142
ln_diste~200 |  -.0090846   .0233023    -0.39   0.697    -.0551888    .0370195
ln_diste~300 |  -.0341156   .0329439    -1.04   0.302    -.0992959    .0310647
ln_diste~400 |  -.0606509   .0401304    -1.51   0.133    -.1400499     .018748
ln_diste~500 |  -.0674309   .0498297    -1.35   0.178    -.1660202    .0311584
ln_diste~600 |  -.0301234   .0530208    -0.57   0.571    -.1350264    .0747795
ln_diste~700 |  -.0235616   .0647555    -0.36   0.717     -.151682    .1045588
ln_diste~750 |  -.0440604   .0756092    -0.58   0.561    -.1936551    .1055343
ln_diste~800 |  -.0372662   .0838306    -0.44   0.657    -.2031272    .1285947
ln_diste~850 |   .0120042   .0840049     0.14   0.887    -.1542016      .17821
ln_diste~900 |   .0825775   .0940481     0.88   0.382    -.1034989     .268654
malaria_1100 |  -.0014282     .00175    -0.82   0.416    -.0048906    .0020342
malaria_1200 |  -.0021629   .0033946    -0.64   0.525    -.0088792    .0045534
malaria_1300 |  -.0010649   .0045009    -0.24   0.813    -.0099701    .0078403
malaria_1400 |   -.000275   .0052123    -0.05   0.958    -.0105876    .0100376
malaria_1500 |  -.0007903   .0068567    -0.12   0.908    -.0143565     .012776
malaria_1600 |  -.0014697   .0070203    -0.21   0.835    -.0153596    .0124202
malaria_1700 |   .0037017   .0089395     0.41   0.679    -.0139853    .0213888
malaria_1750 |    .010366   .0125877     0.82   0.412    -.0145391    .0352712
malaria_1800 |   .0080183   .0137849     0.58   0.562    -.0192554     .035292
malaria_1850 |  -.0044824    .013168    -0.34   0.734    -.0305356    .0215708
malaria_1900 |  -.0164439   .0145818    -1.13   0.262    -.0452943    .0124065
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_gbr |  (omitted)
_Iyea~g_1100 |   -.177645   .0575203    -3.09   0.002    -.2914503   -.0638397
_Iyea~g_1200 |   -.140023     .09924    -1.41   0.161    -.3363718    .0563258
_Iyea~g_1300 |  -.0839521   .1557616    -0.54   0.591    -.3921303    .2242261
_Iyea~g_1400 |  -.0238937   .2208954    -0.11   0.914    -.4609407    .4131533
_Iyea~g_1500 |   .1500001    .239694     0.63   0.533    -.3242403    .6242405
_Iyea~g_1600 |   .2420301   .2048329     1.18   0.240    -.1632368     .647297
_Iyea~g_1700 |   .2093916   .2626545     0.80   0.427    -.3102767      .72906
_Iyea~g_1750 |   .1348828   .3044054     0.44   0.658    -.4673908    .7371564
_Iyea~g_1800 |   .1367671   .3578519     0.38   0.703    -.5712516    .8447858
_Iyea~g_1850 |   .0280747   .3993519     0.07   0.944     -.762053    .8182023
_Iyea~g_1900 |     .09535   .4099126     0.23   0.816    -.7156721    .9063722
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_fra |  (omitted)
_Iyea~ga1100 |  -.2112256   .0553227    -3.82   0.000    -.3206829   -.1017683
_Iyea~ga1200 |  -.2218159   .0881419    -2.52   0.013    -.3962068    -.047425
_Iyea~ga1300 |  -.2409319   .1380236    -1.75   0.083    -.5140149    .0321512
_Iyea~ga1400 |   -.159108   .2071158    -0.77   0.444    -.5688918    .2506757
_Iyea~ga1500 |  -.0555625    .230158    -0.24   0.810    -.5109357    .3998108
_Iyea~ga1600 |   .1163301   .1937298     0.60   0.549     -.266969    .4996293
_Iyea~ga1700 |  -.0123984   .2399928    -0.05   0.959    -.4872301    .4624333
_Iyea~ga1750 |  -.1006268   .2786628    -0.36   0.719     -.651968    .4507145
_Iyea~ga1800 |  -.1322394   .3274802    -0.40   0.687     -.780167    .5156881
_Iyea~ga1850 |  -.2244181   .3637059    -0.62   0.538    -.9440191    .4951829
_Iyea~ga1900 |  -.1617383   .3819099    -0.42   0.673    -.9173565    .5938799
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_deu |  (omitted)
_Iyea~gb1100 |  -.0606886   .0540055    -1.12   0.263    -.1675397    .0461625
_Iyea~gb1200 |   .0944862   .0986519     0.96   0.340    -.1006991    .2896714
_Iyea~gb1300 |   .2074255   .1863885     1.11   0.268    -.1613487    .5761998
_Iyea~gb1400 |   .3097567   .2419031     1.28   0.203    -.1688545    .7883678
_Iyea~gb1500 |   .5480239   .2672783     2.05   0.042     .0192072    1.076841
_Iyea~gb1600 |   .6467907   .2424689     2.67   0.009     .1670601    1.126521
_Iyea~gb1700 |   .5863008   .2884668     2.03   0.044     .0155621    1.157039
_Iyea~gb1750 |   .4092118   .2985252     1.37   0.173    -.1814277    .9998513
_Iyea~gb1800 |   .2493307   .3303847     0.75   0.452    -.4043435    .9030048
_Iyea~gb1850 |   .1459718   .3525204     0.41   0.680    -.5514984     .843442
_Iyea~gb1900 |   .0770083   .3594098     0.21   0.831    -.6340927    .7881093
 _Iyear_1100 |   .1896419   .1278443     1.48   0.140    -.0633011     .442585
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |   1.456086   .6949473     2.10   0.038     .0811158    2.831056
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_soc |  (omitted)
_Iyea~gc1100 |  -.0823182   .0557554    -1.48   0.142    -.1926315    .0279951
_Iyea~gc1200 |   .0226107   .0941774     0.24   0.811    -.1637216     .208943
_Iyea~gc1300 |   .0830867   .1413264     0.59   0.558    -.1965309    .3627044
_Iyea~gc1400 |   .1982452   .2172473     0.91   0.363     -.231584    .6280743
_Iyea~gc1500 |   .3386731   .2396961     1.41   0.160    -.1355715    .8129176
_Iyea~gc1600 |   .4276061   .1980167     2.16   0.033     .0358252     .819387
_Iyea~gc1700 |   .3838541   .2372025     1.62   0.108    -.0854569    .8531651
_Iyea~gc1750 |   .3261411   .2710117     1.20   0.231    -.2100622    .8623445
_Iyea~gc1800 |   .3610677   .3158972     1.14   0.255    -.2639427     .986078
_Iyea~gc1850 |   .3071463   .3458998     0.89   0.376    -.3772249    .9915176
_Iyea~gc1900 |   .3158777   .3665064     0.86   0.390    -.4092642     1.04102
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |   .2920461   .2265737     1.29   0.200    -.1562355    .7403276
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_esp |  (omitted)
_Iyea~l_1100 |   .1179639   .0776954     1.52   0.131    -.0357584    .2716863
_Iyea~l_1200 |   .2267883   .1595163     1.42   0.158    -.0888186    .5423951
_Iyea~l_1300 |   .3844758   .2509563     1.53   0.128    -.1120475    .8809991
_Iyea~l_1400 |   .4947921   .3551428     1.39   0.166    -.2078665    1.197451
_Iyea~l_1500 |    .638512    .413922     1.54   0.125    -.1804427    1.457467
_Iyea~l_1600 |   .7738015   .5162481     1.50   0.136    -.2476081    1.795211
_Iyea~l_1700 |   .9465063   .6686351     1.42   0.159    -.3764046    2.269417
_Iyea~l_1750 |   1.082726   .8379123     1.29   0.199    -.5751035    2.740556
_Iyea~l_1800 |   1.198089   .9202765     1.30   0.195    -.6227003    3.018879
_Iyea~l_1850 |   1.384147   .9353296     1.48   0.141     -.466426    3.234719
_Iyea~l_1900 |   1.480847   .9745905     1.52   0.131    -.4474041    3.409098
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_gbr |  (omitted)
_Iyea~la1100 |  -.0487659   .0266337    -1.83   0.069    -.1014613    .0039294
_Iyea~la1200 |  -.1120796   .0618588    -1.81   0.072    -.2344687    .0103094
_Iyea~la1300 |  -.1362263   .0959069    -1.42   0.158    -.3259804    .0535277
_Iyea~la1400 |  -.1642901   .1092911    -1.50   0.135    -.3805253    .0519451
_Iyea~la1500 |  -.1481815   .1142483    -1.30   0.197    -.3742246    .0778616
_Iyea~la1600 |  -.1159147   .1168524    -0.99   0.323      -.34711    .1152806
_Iyea~la1700 |  -.1279285   .1546785    -0.83   0.410    -.4339637    .1781066
_Iyea~la1750 |  -.1669379   .1669088    -1.00   0.319    -.4971711    .1632953
_Iyea~la1800 |  -.2199417    .188533    -1.17   0.246    -.5929588    .1530754
_Iyea~la1850 |  -.2622153   .2064422    -1.27   0.206    -.6706663    .1462357
_Iyea~la1900 |  -.2009862   .2063466    -0.97   0.332     -.609248    .2072755
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |   1.242882   .6208367     2.00   0.047     .0145416    2.471223
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_fra |  (omitted)
_Iyea~lb1100 |  -.0328627   .0286195    -1.15   0.253    -.0894871    .0237618
_Iyea~lb1200 |  -.0674185   .0576486    -1.17   0.244    -.1814777    .0466406
_Iyea~lb1300 |  -.0295862   .0835381    -0.35   0.724    -.1948684    .1356961
_Iyea~lb1400 |  -.0472762   .0955049    -0.50   0.621    -.2362349    .1416826
_Iyea~lb1500 |  -.0300736   .1226162    -0.25   0.807    -.2726727    .2125256
_Iyea~lb1600 |  -.0311848   .1121591    -0.28   0.781    -.2530943    .1907246
_Iyea~lb1700 |  -.0696737   .1512003    -0.46   0.646    -.3688271    .2294797
_Iyea~lb1750 |  -.0715223   .1658025    -0.43   0.667    -.3995666    .2565219
_Iyea~lb1800 |  -.1019821   .1834971    -0.56   0.579    -.4650356    .2610714
_Iyea~lb1850 |  -.1200006   .2008502    -0.60   0.551    -.5173876    .2773864
_Iyea~lb1900 |  -.1112609   .2430263    -0.46   0.648    -.5920944    .3695727
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |    .394978   .3151297     1.25   0.212    -.2285138     1.01847
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_prt |  (omitted)
_Iyea~lc1100 |   .0364246   .0408292     0.89   0.374    -.0443571    .1172062
_Iyea~lc1200 |   .0754346   .0821397     0.92   0.360    -.0870807    .2379499
_Iyea~lc1300 |   .1879664   .1296579     1.45   0.150    -.0685648    .4444977
_Iyea~lc1400 |   .2351665   .1762666     1.33   0.185    -.1135813    .5839142
_Iyea~lc1500 |   .3194807   .2082078     1.53   0.127    -.0924635    .7314249
_Iyea~lc1600 |   .2346313   .2273347     1.03   0.304    -.2151558    .6844185
_Iyea~lc1700 |   .2417132   .2593146     0.93   0.353    -.2713472    .7547735
_Iyea~lc1750 |    .254051   .2884471     0.88   0.380    -.3166486    .8247505
_Iyea~lc1800 |   .2196337   .3237738     0.68   0.499    -.4209607    .8602281
_Iyea~lc1850 |   .0839845   .3320077     0.25   0.801     -.572901    .7408699
_Iyea~lc1900 |   .0435409   .3615684     0.12   0.904    -.6718311    .7589129
  colony_oeu |  (omitted)
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
     attrade |  (omitted)
_IyeaXa~1100 |  -.0649924   .0719818    -0.90   0.368    -.2074101    .0774254
_IyeaXa~1200 |  -.0247098   .1334333    -0.19   0.853    -.2887107    .2392912
_IyeaXa~1300 |    .044992   .1818073     0.25   0.805    -.3147182    .4047022
_IyeaXa~1400 |   .0748876   .1378604     0.54   0.588    -.1978726    .3476479
_IyeaXa~1500 |   .0532444   .2065566     0.26   0.797     -.355433    .4619218
_IyeaXa~1600 |   .2119904   .2256796     0.94   0.349    -.2345223     .658503
_IyeaXa~1700 |   .1299505   .2413089     0.54   0.591     -.347485    .6073861
_IyeaXa~1750 |   .0377893   .2440877     0.15   0.877    -.4451442    .5207228
_IyeaXa~1800 |  -.1555059   .2558152    -0.61   0.544    -.6616426    .3506307
_IyeaXa~1850 |  -.2761243   .2411238    -1.15   0.254    -.7531937    .2009451
_IyeaXa~1900 |  -.3625038   .3045936    -1.19   0.236    -.9651497    .2401421
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       roman |  (omitted)
_IyeaXr~1100 |    .178842   .0606092     2.95   0.004     .0589252    .2987588
_IyeaXr~1200 |   .2903822   .1267409     2.29   0.024     .0396221    .5411422
_IyeaXr~1300 |   .5055997   .1835105     2.76   0.007     .1425197    .8686797
_IyeaXr~1400 |   .2778768   .1468382     1.89   0.061    -.0126462    .5683999
_IyeaXr~1500 |   .4388984   .2024448     2.17   0.032     .0383563    .8394404
_IyeaXr~1600 |   .3268807   .2115783     1.54   0.125    -.0917321    .7454935
_IyeaXr~1700 |   .4175781   .2167029     1.93   0.056    -.0111739    .8463301
_IyeaXr~1750 |   .4353976    .231864     1.88   0.063    -.0233511    .8941463
_IyeaXr~1800 |   .5673754   .2591512     2.19   0.030     .0546384    1.080112
_IyeaXr~1850 |    .669382   .2562804     2.61   0.010      .162325    1.176439
_IyeaXr~1900 |   .5066856   .2959519     1.71   0.089    -.0788624    1.092234
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  protestant |  (omitted)
_IyeaXp~1100 |   -.061533   .0385045    -1.60   0.112     -.137715     .014649
_IyeaXp~1200 |   .0074591   .0688676     0.11   0.914    -.1287971    .1437153
_IyeaXp~1300 |    .198533   .1203121     1.65   0.101    -.0395074    .4365733
_IyeaXp~1400 |   .1339716   .1014268     1.32   0.189    -.0667038    .3346469
_IyeaXp~1500 |   .1361162   .1421874     0.96   0.340    -.1452051    .4174376
_IyeaXp~1600 |   .2964255   .1362463     2.18   0.031     .0268589    .5659921
_IyeaXp~1700 |   .3378131    .148523     2.27   0.025     .0439568    .6316695
_IyeaXp~1750 |   .2920965   .1536067     1.90   0.059    -.0118182    .5960111
_IyeaXp~1800 |   .3153289   .1603706     1.97   0.051    -.0019682     .632626
_IyeaXp~1850 |    .386063   .1724932     2.24   0.027      .044781    .7273451
_IyeaXp~1900 |   .4016836   .1974557     2.03   0.044     .0110127    .7923544
ln_dist_~100 |  -.0073231   .0128083    -0.57   0.568    -.0326646    .0180184
ln_dist_~200 |  -.0186045   .0263685    -0.71   0.482    -.0707753    .0335664
ln_dist_~300 |  -.0213201    .035016    -0.61   0.544       -.0906    .0479599
ln_dist_~400 |  -.0001308   .0455831    -0.00   0.998    -.0903181    .0900565
ln_dist_~500 |   -.025023   .0475828    -0.53   0.600    -.1191667    .0691208
ln_dist_~600 |  -.0135104   .0478721    -0.28   0.778    -.1082265    .0812057
ln_dist_~700 |  -.0067436   .0555144    -0.12   0.904    -.1165803    .1030931
ln_dist_~750 |   .0165055     .05787     0.29   0.776    -.0979917    .1310028
ln_dist_~800 |   .0179205    .063241     0.28   0.777    -.1072034    .1430444
ln_dist_~850 |   .0453402   .0662012     0.68   0.495    -.0856404    .1763209
ln_dist_~900 |  -.0052281   .0823361    -0.06   0.949     -.168132    .1576758
ln_expo~1100 |  (omitted)
ln_expo~1200 |  (omitted)
ln_expo~1300 |  (omitted)
ln_expo~1400 |  (omitted)
ln_expo~1500 |  (omitted)
ln_expo~1600 |   .0054313   .0040964     1.33   0.187    -.0026736    .0135362
ln_expo~1700 |   .0084381   .0077607     1.09   0.279    -.0069168    .0237929
ln_expo~1750 |  -.0029819   .0141415    -0.21   0.833    -.0309612    .0249974
ln_expo~1800 |  -.0027093   .0163554    -0.17   0.869    -.0350689    .0296503
ln_expo~1850 |    -.00346   .0158078    -0.22   0.827    -.0347361    .0278161
ln_expo~1900 |  -.0172467    .020619    -0.84   0.404     -.058042    .0235486
ln_owor~1100 |   .0040851   .0044345     0.92   0.359    -.0046887    .0128589
ln_owor~1200 |   .0130336   .0090827     1.43   0.154    -.0049368     .031004
ln_owor~1300 |   .0173992    .011298     1.54   0.126    -.0049542    .0397525
ln_owor~1400 |   .0000459   .0174049     0.00   0.998      -.03439    .0344819
ln_owor~1500 |   .0238591   .0155276     1.54   0.127    -.0068626    .0545808
ln_owor~1600 |   .0318845   .0145245     2.20   0.030     .0031474    .0606216
ln_owor~1700 |   .0363157   .0198234     1.83   0.069    -.0029053    .0755367
ln_owor~1750 |   .0211889   .0248204     0.85   0.395    -.0279189    .0702967
ln_owor~1800 |   .0360709   .0266413     1.35   0.178    -.0166397    .0887814
ln_owor~1850 |   .0448266   .0287754     1.56   0.122    -.0121063    .1017594
ln_owor~1900 |    .086233   .0325395     2.65   0.009     .0218527    .1506133
ln_elev~1100 |   .0165425   .0207051     0.80   0.426    -.0244231     .057508
ln_elev~1200 |   .0213153   .0403295     0.53   0.598    -.0584776    .1011082
ln_elev~1300 |   .0203875   .0528918     0.39   0.701    -.0842601    .1250352
ln_elev~1400 |   .0194519   .0640922     0.30   0.762    -.1073562    .1462599
ln_elev~1500 |   .0223433   .0719198     0.31   0.757    -.1199517    .1646384
ln_elev~1600 |  -.0213185   .0745211    -0.29   0.775    -.1687604    .1261233
ln_elev~1700 |  -.0817223   .0894956    -0.91   0.363    -.2587915     .095347
ln_elev~1750 |   -.121768   .0970316    -1.25   0.212    -.3137474    .0702113
ln_elev~1800 |  -.1475427   .1049795    -1.41   0.162    -.3552472    .0601618
ln_elev~1850 |  -.1635084   .1015756    -1.61   0.110    -.3644782    .0374615
ln_elev~1900 |  -.1210529   .1236086    -0.98   0.329    -.3656156    .1235099
ln_trop~1100 |   .0049062   .0041188     1.19   0.236    -.0032429    .0130552
ln_trop~1200 |   .0047018   .0073499     0.64   0.523    -.0098401    .0192436
ln_trop~1300 |   .0047506   .0102011     0.47   0.642    -.0154325    .0249336
ln_trop~1400 |   .0220432   .0156299     1.41   0.161    -.0088809    .0529674
ln_trop~1500 |   .0135423   .0154125     0.88   0.381    -.0169518    .0440364
ln_trop~1600 |   .0111296   .0155704     0.71   0.476    -.0196768     .041936
ln_trop~1700 |   .0127042   .0192569     0.66   0.511    -.0253961    .0508045
ln_trop~1750 |   .0151458   .0213142     0.71   0.479    -.0270248    .0573164
ln_trop~1800 |    .009678   .0232784     0.42   0.678    -.0363789     .055735
ln_trop~1850 |   .0248649   .0222213     1.12   0.265    -.0191005    .0688304
ln_trop~1900 |   .0329614   .0263925     1.25   0.214    -.0192567    .0851795
ln_rugg~1100 |  -.0321662    .019366    -1.66   0.099    -.0704823      .00615
ln_rugg~1200 |  -.0580042   .0373854    -1.55   0.123    -.1319722    .0159638
ln_rugg~1300 |  -.0501119   .0465912    -1.08   0.284    -.1422938      .04207
ln_rugg~1400 |  -.0408674   .0581268    -0.70   0.483    -.1558727    .0741379
ln_rugg~1500 |  -.0516265   .0688585    -0.75   0.455    -.1878648    .0846118
ln_rugg~1600 |  -.0185015   .0715234    -0.26   0.796    -.1600124    .1230094
ln_rugg~1700 |   .0126467   .0891505     0.14   0.887    -.1637398    .1890331
ln_rugg~1750 |   .0448987   .0992784     0.45   0.652     -.151526    .2413234
ln_rugg~1800 |   .0570409   .1071183     0.53   0.595    -.1548953     .268977
ln_rugg~1850 |   .0290963   .0935105     0.31   0.756    -.1559164    .2141091
ln_rugg~1900 |  -.0246155   .1067531    -0.23   0.818    -.2358291     .186598
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |   .3644852   .3892994     0.94   0.351    -.4057531    1.134724
 _Iyear_1500 |   .3384668    .453022     0.75   0.456    -.5578484    1.234782
 _Iyear_1600 |   .4264257   .4568788     0.93   0.352    -.4775202    1.330372
 _Iyear_1700 |   .8710474   .5434001     1.60   0.111     -.204083    1.946178
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |   1.511435   .6438315     2.35   0.020     .2375986    2.785271
 _Iyear_1900 |   1.367709   .7531742     1.82   0.072    -.1224646    2.857882
       _cons |   12.64394   .0293067   431.43   0.000     12.58596    12.70192
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. 
. *** City Population Share (Panel B) ***
. * Baseline (Col 1)
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.03
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4441
                                                       Adj R-squared =  0.3688
                                                       Root MSE      =  .03868

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0036269   .0011611     3.12   0.002     .0013297    .0059241
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013151   .0011375     1.16   0.250    -.0009354    .0035656
ln_owor~1500 |    .000625   .0009687     0.65   0.520    -.0012916    .0025417
ln_owor~1600 |   .0017471   .0012308     1.42   0.158    -.0006881    .0041823
ln_owor~1700 |   .0022121    .001109     1.99   0.048     .0000178    .0044063
ln_owor~1750 |  -.0014165   .0017433    -0.81   0.418    -.0048657    .0020327
ln_owor~1800 |  -.0008886   .0016687    -0.53   0.595    -.0041902     .002413
ln_owor~1850 |  -.0011536   .0017242    -0.67   0.505    -.0045649    .0022577
ln_owor~1900 |   .0084499   .0025593     3.30   0.001     .0033862    .0135136
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019859   .0046989     0.42   0.673     -.007311    .0112828
ln_elev~1500 |   .0049366   .0047782     1.03   0.303    -.0045171    .0143903
ln_elev~1600 |  -.0016237   .0076557    -0.21   0.832    -.0167708    .0135233
ln_elev~1700 |  -.0045548     .00631    -0.72   0.472    -.0170393    .0079298
ln_elev~1750 |  -.0049402   .0069171    -0.71   0.476    -.0186258    .0087453
ln_elev~1800 |  -.0057942   .0063175    -0.92   0.361    -.0182934    .0067051
ln_elev~1850 |  -.0067614   .0060674    -1.11   0.267     -.018766    .0052432
ln_elev~1900 |  -.0249316   .0089147    -2.80   0.006    -.0425695   -.0072937
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003589   .0011428    -0.31   0.754    -.0026198    .0019021
ln_trop~1500 |   .0002671   .0008219     0.32   0.746     -.001359    .0018931
ln_trop~1600 |   .0009823   .0015664     0.63   0.532    -.0021169    .0040815
ln_trop~1700 |  -.0011923   .0009913    -1.20   0.231    -.0031537    .0007692
ln_trop~1750 |   .0007007   .0011677     0.60   0.550    -.0016097    .0030111
ln_trop~1800 |   .0003621   .0010914     0.33   0.741    -.0017972    .0025214
ln_trop~1850 |   .0006149   .0011311     0.54   0.588    -.0016229    .0028528
ln_trop~1900 |  -.0061801   .0017128    -3.61   0.000    -.0095688   -.0027914
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092067   .0068214    -1.35   0.179     -.022703    .0042895
ln_rugg~1500 |  -.0051998   .0053491    -0.97   0.333    -.0157831    .0053834
ln_rugg~1600 |  -.0007985   .0083459    -0.10   0.924     -.017311     .015714
ln_rugg~1700 |  -.0070481   .0061864    -1.14   0.257     -.019288    .0051918
ln_rugg~1750 |  -.0064152   .0061433    -1.04   0.298    -.0185699    .0057395
ln_rugg~1800 |  -.0059151   .0057743    -1.02   0.308    -.0173397    .0055095
ln_rugg~1850 |  -.0060519   .0056935    -1.06   0.290    -.0173166    .0052128
ln_rugg~1900 |  -.0020558   .0098998    -0.21   0.836    -.0216427    .0175311
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |   -.019356   .0299545    -0.65   0.519    -.0786217    .0399098
 _Iyear_1500 |  -.0348158   .0297443    -1.17   0.244    -.0936656    .0240339
 _Iyear_1600 |  -.0039891   .0423284    -0.09   0.925    -.0877368    .0797585
 _Iyear_1700 |   .0189262   .0390795     0.48   0.629    -.0583935    .0962458
 _Iyear_1750 |   .0255736   .0420897     0.61   0.545    -.0577018     .108849
 _Iyear_1800 |   .0282929   .0387748     0.73   0.467     -.048424    .1050098
 _Iyear_1850 |   .0332241    .037232     0.89   0.374    -.0404404    .1068886
 _Iyear_1900 |   .1434819   .0555175     2.58   0.011     .0336391    .2533248
       _cons |   .0139837   .0037453     3.73   0.000     .0065736    .0213939
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Latitude (Col 2)
. xi: areg city_pop_share ln_wpot_post `ln_disteq_flexible' `ln_oworld_flexible' `ln_eleva
> tion_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(is
> ocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 67,   129) =    2.86
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4466
                                                       Adj R-squared =  0.3666
                                                       Root MSE      =  .03875

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0037257    .001183     3.15   0.002     .0013852    .0060662
ln_diste~100 |   .0074421   .0068127     1.09   0.277    -.0060369    .0209212
ln_diste~200 |   .0026668   .0036585     0.73   0.467    -.0045717    .0099053
ln_diste~300 |     .00154   .0028127     0.55   0.585     -.004025    .0071049
ln_diste~400 |    .006095    .004086     1.49   0.138    -.0019893    .0141792
ln_diste~500 |   .0062963   .0035594     1.77   0.079    -.0007461    .0133387
ln_diste~600 |   .0079549   .0057867     1.37   0.172    -.0034943    .0194041
ln_diste~700 |   .0020215   .0031868     0.63   0.527    -.0042836    .0083267
ln_diste~750 |  -.0007341   .0036649    -0.20   0.842    -.0079851    .0065169
ln_diste~800 |  -.0019032   .0036024    -0.53   0.598    -.0090306    .0052242
ln_diste~850 |  -.0005352   .0035818    -0.15   0.881    -.0076219    .0065516
ln_diste~900 |   .0114078   .0100013     1.14   0.256    -.0083801    .0311957
ln_owor~1100 |   -.003463   .0035246    -0.98   0.328    -.0104365    .0035106
ln_owor~1200 |  -.0010426   .0017209    -0.61   0.546    -.0044475    .0023623
ln_owor~1300 |  -.0006792   .0011354    -0.60   0.551    -.0029257    .0015672
ln_owor~1400 |   .0007539   .0011814     0.64   0.524    -.0015835    .0030914
ln_owor~1500 |   .0000453    .001116     0.04   0.968    -.0021627    .0022533
ln_owor~1600 |   .0010143   .0010794     0.94   0.349    -.0011213    .0031499
ln_owor~1700 |   .0020268   .0011984     1.69   0.093    -.0003443     .004398
ln_owor~1750 |  -.0014419   .0016974    -0.85   0.397    -.0048003    .0019165
ln_owor~1800 |  -.0008061   .0016202    -0.50   0.620    -.0040118    .0023995
ln_owor~1850 |  -.0011974   .0016682    -0.72   0.474     -.004498    .0021033
ln_owor~1900 |   .0073039   .0027463     2.66   0.009     .0018703    .0127376
ln_elev~1100 |   .0086549   .0064311     1.35   0.181    -.0040692    .0213791
ln_elev~1200 |   .0041502   .0038789     1.07   0.287    -.0035243    .0118248
ln_elev~1300 |   .0039998   .0041374     0.97   0.335    -.0041861    .0121857
ln_elev~1400 |   .0035691   .0049871     0.72   0.475     -.006298    .0134363
ln_elev~1500 |   .0065722   .0051585     1.27   0.205    -.0036341    .0167785
ln_elev~1600 |   .0004429   .0069762     0.06   0.949    -.0133597    .0142455
ln_elev~1700 |  -.0040302   .0066429    -0.61   0.545    -.0171733     .009113
ln_elev~1750 |  -.0051002   .0071865    -0.71   0.479     -.019319    .0091185
ln_elev~1800 |   -.006258   .0066313    -0.94   0.347    -.0193782    .0068621
ln_elev~1850 |  -.0068697   .0063919    -1.07   0.284    -.0195163    .0057769
ln_elev~1900 |  -.0219359   .0100351    -2.19   0.031    -.0417906   -.0020813
ln_trop~1100 |   .0014137   .0010898     1.30   0.197    -.0007424    .0035699
ln_trop~1200 |     .00074    .000983     0.75   0.453    -.0012048    .0026849
ln_trop~1300 |   .0012253    .001034     1.19   0.238    -.0008205    .0032712
ln_trop~1400 |   .0006396   .0014159     0.45   0.652    -.0021619     .003441
ln_trop~1500 |   .0012985   .0012596     1.03   0.305    -.0011937    .0037908
ln_trop~1600 |   .0022861   .0024074     0.95   0.344    -.0024769    .0070491
ln_trop~1700 |  -.0008626   .0012269    -0.70   0.483      -.00329    .0015648
ln_trop~1750 |   .0006189   .0012843     0.48   0.631    -.0019221    .0031599
ln_trop~1800 |   .0000884   .0012041     0.07   0.942    -.0022939    .0024707
ln_trop~1850 |   .0005659   .0012444     0.45   0.650    -.0018962    .0030279
ln_trop~1900 |  -.0042684    .002721    -1.57   0.119     -.009652    .0011151
ln_rugg~1100 |  -.0120826   .0100509    -1.20   0.232    -.0319685    .0078034
ln_rugg~1200 |  -.0050605   .0049763    -1.02   0.311    -.0149063    .0047853
ln_rugg~1300 |  -.0062048   .0051259    -1.21   0.228    -.0163465    .0039368
ln_rugg~1400 |  -.0103925   .0070259    -1.48   0.142    -.0242934    .0035084
ln_rugg~1500 |  -.0064243   .0056219    -1.14   0.255    -.0175473    .0046987
ln_rugg~1600 |  -.0023416   .0078664    -0.30   0.766    -.0179055    .0132222
ln_rugg~1700 |  -.0074513    .006466    -1.15   0.251    -.0202445    .0053419
ln_rugg~1750 |  -.0063503   .0063934    -0.99   0.322    -.0189998    .0062992
ln_rugg~1800 |  -.0056256   .0060255    -0.93   0.352    -.0175471     .006296
ln_rugg~1850 |  -.0060253   .0059464    -1.01   0.313    -.0177904    .0057399
ln_rugg~1900 |  -.0043237   .0108657    -0.40   0.691    -.0258219    .0171744
 _Iyear_1100 |  -.0569042    .042212    -1.35   0.180    -.1404217    .0266133
 _Iyear_1200 |  -.0285581   .0255517    -1.12   0.266    -.0791129    .0219966
 _Iyear_1300 |  -.0356324   .0329592    -1.08   0.282     -.100843    .0295782
 _Iyear_1400 |  -.0473383   .0381787    -1.24   0.217    -.1228759    .0281992
 _Iyear_1500 |  -.0637228   .0388368    -1.64   0.103    -.1405623    .0131167
 _Iyear_1600 |  -.0405129   .0392084    -1.03   0.303    -.1180877    .0370618
 _Iyear_1700 |   .0096505   .0462278     0.21   0.835    -.0818124    .1011134
 _Iyear_1750 |    .028891   .0487859     0.59   0.555    -.0676331    .1254152
 _Iyear_1800 |   .0369793   .0462449     0.80   0.425    -.0545174     .128476
 _Iyear_1850 |   .0356278   .0451889     0.79   0.432    -.0537795    .1250351
 _Iyear_1900 |   .0910393    .083506     1.09   0.278    -.0741794     .256258
       _cons |    .013979    .003754     3.72   0.000     .0065516    .0214064
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Malaria (Col 3)
. xi: areg city_pop_share ln_wpot_post `malaria_flexible' `ln_oworld_flexible' `ln_elevati
> on_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isoc
> ode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 67,   129) =    2.72
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4517
                                                       Adj R-squared =  0.3724
                                                       Root MSE      =  .03857

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0033631   .0013716     2.45   0.016     .0006494    .0060768
malaria_1100 |  -.0009198   .0008036    -1.14   0.254    -.0025097    .0006701
malaria_1200 |  -.0005766    .000428    -1.35   0.180    -.0014234    .0002701
malaria_1300 |  -7.92e-07   .0003392    -0.00   0.998    -.0006719    .0006703
malaria_1400 |  -.0005717   .0006721    -0.85   0.397    -.0019015    .0007581
malaria_1500 |   .0002969   .0005205     0.57   0.569     -.000733    .0013267
malaria_1600 |  -.0003562   .0005772    -0.62   0.538    -.0014983    .0007859
malaria_1700 |  -.0005649   .0005873    -0.96   0.338    -.0017269    .0005972
malaria_1750 |   .0002543   .0006806     0.37   0.709    -.0010923    .0016008
malaria_1800 |   .0002631    .000616     0.43   0.670    -.0009556    .0014818
malaria_1850 |  -1.05e-07   .0006074    -0.00   1.000    -.0012018    .0012016
malaria_1900 |  -.0029967   .0015045    -1.99   0.049    -.0059735     -.00002
ln_owor~1100 |  -.0029047   .0030592    -0.95   0.344    -.0089573    .0031479
ln_owor~1200 |  -.0008763   .0014977    -0.59   0.560    -.0038396     .002087
ln_owor~1300 |  -.0005378   .0010227    -0.53   0.600    -.0025612    .0014856
ln_owor~1400 |   .0012369   .0011228     1.10   0.273    -.0009846    .0034584
ln_owor~1500 |   .0006666   .0009708     0.69   0.494    -.0012542    .0025875
ln_owor~1600 |   .0016986   .0011967     1.42   0.158    -.0006692    .0040663
ln_owor~1700 |   .0021348   .0011106     1.92   0.057    -.0000626    .0043321
ln_owor~1750 |  -.0011284   .0018869    -0.60   0.551    -.0048617    .0026049
ln_owor~1800 |  -.0005993   .0018158    -0.33   0.742    -.0041918    .0029932
ln_owor~1850 |  -.0009005   .0018452    -0.49   0.626    -.0045514    .0027503
ln_owor~1900 |   .0082896   .0026822     3.09   0.002     .0029828    .0135965
ln_elev~1100 |   .0079042   .0056725     1.39   0.166    -.0033189    .0191273
ln_elev~1200 |   .0041986   .0033708     1.25   0.215    -.0024707    .0108678
ln_elev~1300 |   .0036009   .0038791     0.93   0.355    -.0040739    .0112758
ln_elev~1400 |   .0027198   .0047237     0.58   0.566    -.0066262    .0120657
ln_elev~1500 |    .004556   .0047604     0.96   0.340    -.0048625    .0139745
ln_elev~1600 |  -.0011663   .0073499    -0.16   0.874    -.0157082    .0133756
ln_elev~1700 |  -.0038296   .0061118    -0.63   0.532    -.0159219    .0082626
ln_elev~1750 |  -.0053505   .0067557    -0.79   0.430    -.0187169    .0080159
ln_elev~1800 |  -.0062158   .0062709    -0.99   0.323     -.018623    .0061913
ln_elev~1850 |  -.0068453   .0060648    -1.13   0.261    -.0188447    .0051541
ln_elev~1900 |  -.0211703   .0090302    -2.34   0.021    -.0390367   -.0033039
ln_trop~1100 |   .0009639   .0008801     1.10   0.275    -.0007775    .0027053
ln_trop~1200 |    .000785   .0009271     0.85   0.399    -.0010492    .0026192
ln_trop~1300 |   .0009741   .0008789     1.11   0.270    -.0007648    .0027129
ln_trop~1400 |   .0001187   .0011633     0.10   0.919    -.0021829    .0024204
ln_trop~1500 |   .0000169   .0009733     0.02   0.986    -.0019089    .0019426
ln_trop~1600 |   .0012794   .0018687     0.68   0.495    -.0024179    .0049767
ln_trop~1700 |  -.0007204   .0010957    -0.66   0.512    -.0028882    .0014475
ln_trop~1750 |   .0003766   .0011857     0.32   0.751    -.0019693    .0027226
ln_trop~1800 |   .0000306   .0010919     0.03   0.978    -.0021297     .002191
ln_trop~1850 |    .000504   .0011315     0.45   0.657    -.0017346    .0027427
ln_trop~1900 |  -.0037801   .0022639    -1.67   0.097    -.0082594    .0006992
ln_rugg~1100 |  -.0134763   .0112302    -1.20   0.232    -.0356957     .008743
ln_rugg~1200 |  -.0063255    .005634    -1.12   0.264    -.0174725    .0048215
ln_rugg~1300 |  -.0059058   .0055602    -1.06   0.290    -.0169068    .0050953
ln_rugg~1400 |  -.0109731   .0077506    -1.42   0.159    -.0263079    .0043617
ln_rugg~1500 |  -.0043017    .005441    -0.79   0.431    -.0150668    .0064634
ln_rugg~1600 |  -.0019039   .0078928    -0.24   0.810      -.01752    .0137122
ln_rugg~1700 |  -.0087935   .0068975    -1.27   0.205    -.0224403    .0048534
ln_rugg~1750 |  -.0054839   .0065524    -0.84   0.404    -.0184481    .0074802
ln_rugg~1800 |  -.0049566   .0064362    -0.77   0.443    -.0176908    .0077776
ln_rugg~1850 |   -.005901    .006531    -0.90   0.368    -.0188226    .0070207
ln_rugg~1900 |  -.0110976   .0128394    -0.86   0.389    -.0365007    .0143056
 _Iyear_1100 |  -.0284433   .0283026    -1.00   0.317    -.0844406     .027554
 _Iyear_1200 |  -.0198901   .0167316    -1.19   0.237     -.052994    .0132138
 _Iyear_1300 |  -.0285686   .0255147    -1.12   0.265      -.07905    .0219129
 _Iyear_1400 |  -.0228962   .0302621    -0.76   0.451    -.0827706    .0369782
 _Iyear_1500 |  -.0329761   .0297928    -1.11   0.270     -.091922    .0259698
 _Iyear_1600 |  -.0061947   .0411293    -0.15   0.881    -.0875701    .0751806
 _Iyear_1700 |   .0154283   .0382287     0.40   0.687     -.060208    .0910646
 _Iyear_1750 |   .0273149   .0415304     0.66   0.512     -.054854    .1094837
 _Iyear_1800 |   .0300891   .0387054     0.78   0.438    -.0464906    .1066687
 _Iyear_1850 |   .0333899   .0373648     0.89   0.373    -.0405373     .107317
 _Iyear_1900 |   .1250863   .0553342     2.26   0.025     .0156063    .2345663
       _cons |    .013981   .0037549     3.72   0.000     .0065519    .0214102
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Legal Origin (Col 4)
. xi: areg city_pop_share ln_wpot_post i.year*legor_gbr i.year*legor_fra i.year*legor_deu 
> i.year*legor_soc `ln_oworld_flexible' `ln_elevation_flexible' `ln_tropical_flexible' `ln
> _rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*legor_~r   _IyeaXleg_#         (coded as above)
i.year*legor~ra   _IyeaXlega#         (coded as above)
i.year*legor_~u   _IyeaXlegb#         (coded as above)
i.year*legor_~c   _IyeaXlegc#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 86, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.4897
                                                       Adj R-squared =  0.4014
                                                       Root MSE      =  .03747

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0034501   .0010794     3.20   0.002     .0013144    .0055857
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |   .0421347   .0340529     1.24   0.218    -.0252399    .1095092
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_gbr |  (omitted)
_IyeaX~_1100 |  -.0143606   .0158511    -0.91   0.367    -.0457225    .0170012
_IyeaX~_1200 |  -.0041684   .0072805    -0.57   0.568    -.0185731    .0102364
_IyeaX~_1300 |  -.0144665   .0140621    -1.03   0.306    -.0422887    .0133557
_IyeaX~_1400 |  -.0154425    .016708    -0.92   0.357    -.0484998    .0176147
_IyeaX~_1500 |  -.0171897   .0163209    -1.05   0.294     -.049481    .0151015
_IyeaX~_1600 |  -.0040869   .0197107    -0.21   0.836    -.0430851    .0349113
_IyeaX~_1700 |  -.0151485   .0192568    -0.79   0.433    -.0532486    .0229515
_IyeaX~_1750 |  -.0075016   .0243596    -0.31   0.759    -.0556977    .0406945
_IyeaX~_1800 |  -.0110949   .0230535    -0.48   0.631    -.0567068     .034517
_IyeaX~_1850 |  -.0014999   .0238373    -0.06   0.950    -.0486626    .0456628
_IyeaX~_1900 |   .0013349   .0338391     0.04   0.969    -.0656166    .0682863
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  -.0186596    .020846    -0.90   0.372     -.059904    .0225847
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_fra |  (omitted)
_IyeaX~a1100 |  -.0078815   .0121863    -0.65   0.519    -.0319925    .0162294
_IyeaX~a1200 |  -.0000136   .0095082    -0.00   0.999    -.0188258    .0187986
_IyeaX~a1300 |  -.0035367   .0096084    -0.37   0.713    -.0225471    .0154737
_IyeaX~a1400 |   .0016905   .0125647     0.13   0.893     -.023169      .02655
_IyeaX~a1500 |  -.0024989   .0121383    -0.21   0.837    -.0265148    .0215171
_IyeaX~a1600 |  -.0068009   .0116388    -0.58   0.560    -.0298285    .0162268
_IyeaX~a1700 |  -.0049602   .0136725    -0.36   0.717    -.0320115    .0220911
_IyeaX~a1750 |  -.0024313   .0141062    -0.17   0.863    -.0303407    .0254782
_IyeaX~a1800 |  -.0035016   .0148446    -0.24   0.814    -.0328719    .0258688
_IyeaX~a1850 |  -.0055677   .0161764    -0.34   0.731    -.0375731    .0264376
_IyeaX~a1900 |  -.0158014   .0256632    -0.62   0.539    -.0665767    .0349739
 _Iyear_1100 |  -.0231637   .0239713    -0.97   0.336    -.0705915    .0242641
 _Iyear_1200 |  -.0152476   .0162752    -0.94   0.351    -.0474484    .0169533
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  -.0119147   .0264899    -0.45   0.654    -.0643256    .0404962
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |   .1486879   .0555048     2.68   0.008     .0388703    .2585055
   legor_deu |  (omitted)
_IyeaX~b1100 |   .0155221   .0199318     0.78   0.438    -.0239136    .0549577
_IyeaX~b1200 |   .0051036   .0095737     0.53   0.595    -.0138383    .0240455
_IyeaX~b1300 |   .0003514   .0067981     0.05   0.959    -.0130987    .0138016
_IyeaX~b1400 |   .0025279   .0144002     0.18   0.861    -.0259632     .031019
_IyeaX~b1500 |  -.0028417   .0164335    -0.17   0.863    -.0353557    .0296724
_IyeaX~b1600 |  -.0083722   .0103708    -0.81   0.421    -.0288911    .0121466
_IyeaX~b1700 |  -.0049905   .0141834    -0.35   0.726    -.0330528    .0230717
_IyeaX~b1750 |   .0002624   .0151971     0.02   0.986    -.0298054    .0303302
_IyeaX~b1800 |   .0019911   .0177398     0.11   0.911    -.0331075    .0370897
_IyeaX~b1850 |   .0246058   .0242929     1.01   0.313    -.0234584    .0726699
_IyeaX~b1900 |   .0616425   .0601034     1.03   0.307    -.0572735    .1805585
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |    .002884   .0386154     0.07   0.941    -.0735175    .0792854
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |   .0382016   .0356654     1.07   0.286    -.0323633    .1087665
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |   .0378156   .0332654     1.14   0.258    -.0280007     .103632
 _Iyear_1900 |  (omitted)
   legor_soc |  (omitted)
_IyeaX~c1100 |   .0157196   .0294556     0.53   0.594    -.0425591    .0739983
_IyeaX~c1200 |  -.0017347   .0161549    -0.11   0.915    -.0336976    .0302283
_IyeaX~c1300 |   -.021075   .0124311    -1.70   0.092    -.0456702    .0035202
_IyeaX~c1400 |  -.0075679   .0185447    -0.41   0.684    -.0442591    .0291233
_IyeaX~c1500 |  -.0169376   .0111065    -1.53   0.130    -.0389121    .0050368
_IyeaX~c1600 |  -.0162968   .0128295    -1.27   0.206    -.0416802    .0090866
_IyeaX~c1700 |  -.0417318   .0154668    -2.70   0.008    -.0723333   -.0111304
_IyeaX~c1750 |  -.0452667   .0155092    -2.92   0.004     -.075952   -.0145814
_IyeaX~c1800 |  -.0456504    .016736    -2.73   0.007     -.078763   -.0125378
_IyeaX~c1850 |  -.0338715   .0176744    -1.92   0.058    -.0688406    .0010977
_IyeaX~c1900 |    -.06766   .0255938    -2.64   0.009    -.1182979   -.0170221
ln_owor~1100 |  -.0044006   .0045532    -0.97   0.336    -.0134091     .004608
ln_owor~1200 |  -.0008855   .0023071    -0.38   0.702    -.0054501    .0036791
ln_owor~1300 |   .0000104    .001495     0.01   0.994    -.0029475    .0029683
ln_owor~1400 |   .0013879   .0014391     0.96   0.337    -.0014593    .0042352
ln_owor~1500 |   .0010227     .00143     0.72   0.476    -.0018067     .003852
ln_owor~1600 |   .0023444    .001751     1.34   0.183      -.00112    .0058088
ln_owor~1700 |   .0037813   .0016167     2.34   0.021     .0005825      .00698
ln_owor~1750 |   .0006964   .0021911     0.32   0.751    -.0036387    .0050315
ln_owor~1800 |   .0010972   .0020368     0.54   0.591    -.0029326    .0051271
ln_owor~1850 |   .0001418   .0021162     0.07   0.947    -.0040451    .0043287
ln_owor~1900 |   .0105972   .0029549     3.59   0.000     .0047509    .0164434
ln_elev~1100 |   .0082491   .0061321     1.35   0.181    -.0038834    .0203815
ln_elev~1200 |    .003538   .0037816     0.94   0.351    -.0039439    .0110199
ln_elev~1300 |   .0032496   .0041275     0.79   0.433    -.0049168    .0114159
ln_elev~1400 |   .0014965   .0048707     0.31   0.759    -.0081403    .0111332
ln_elev~1500 |   .0044184   .0049011     0.90   0.369    -.0052786    .0141154
ln_elev~1600 |  -.0017917   .0078856    -0.23   0.821    -.0173936    .0138101
ln_elev~1700 |  -.0055273   .0066267    -0.83   0.406    -.0186384    .0075838
ln_elev~1750 |   -.006077   .0072943    -0.83   0.406     -.020509     .008355
ln_elev~1800 |  -.0068274   .0066199    -1.03   0.304    -.0199251    .0062703
ln_elev~1850 |  -.0066147   .0065787    -1.01   0.317    -.0196307    .0064014
ln_elev~1900 |  -.0236975    .009997    -2.37   0.019    -.0434767   -.0039183
ln_trop~1100 |   .0014604   .0012355     1.18   0.239    -.0009841    .0039049
ln_trop~1200 |   .0004163   .0010032     0.41   0.679    -.0015685    .0024011
ln_trop~1300 |   .0007482   .0011381     0.66   0.512    -.0015034    .0029999
ln_trop~1400 |  -.0001708   .0015413    -0.11   0.912    -.0032203    .0028787
ln_trop~1500 |   .0002134   .0013854     0.15   0.878    -.0025276    .0029544
ln_trop~1600 |   .0005493   .0015733     0.35   0.728    -.0025634    .0036621
ln_trop~1700 |  -.0021498   .0014935    -1.44   0.152    -.0051048    .0008052
ln_trop~1750 |   -.000705   .0017834    -0.40   0.693    -.0042336    .0028235
ln_trop~1800 |  -.0009127   .0016374    -0.56   0.578    -.0041522    .0023269
ln_trop~1850 |  -.0003873   .0016644    -0.23   0.816    -.0036805    .0029058
ln_trop~1900 |  -.0080549   .0022797    -3.53   0.001    -.0125653   -.0035444
ln_rugg~1100 |  -.0126485   .0108762    -1.16   0.247    -.0341674    .0088704
ln_rugg~1200 |  -.0046023   .0056771    -0.81   0.419    -.0158345    .0066299
ln_rugg~1300 |  -.0051065   .0054084    -0.94   0.347    -.0158071    .0055941
ln_rugg~1400 |  -.0082358   .0070783    -1.16   0.247    -.0222403    .0057688
ln_rugg~1500 |  -.0040896   .0055302    -0.74   0.461    -.0150313     .006852
ln_rugg~1600 |  -.0005175    .008581    -0.06   0.952    -.0174952    .0164601
ln_rugg~1700 |  -.0052893   .0065096    -0.81   0.418    -.0181688    .0075902
ln_rugg~1750 |  -.0046368   .0064565    -0.72   0.474    -.0174112    .0081375
ln_rugg~1800 |  -.0042091   .0060809    -0.69   0.490    -.0162404    .0078222
ln_rugg~1850 |  -.0065661   .0060393    -1.09   0.279     -.018515    .0053827
ln_rugg~1900 |  -.0045818   .0106822    -0.43   0.669    -.0257168    .0165532
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  -.0238756   .0260406    -0.92   0.361    -.0753976    .0276464
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |   .0344895    .033752     1.02   0.309    -.0322896    .1012686
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       _cons |   .0138525   .0037048     3.74   0.000     .0065225    .0211826
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Identity of colonizer (Col 5)
. xi: areg city_pop_share ln_wpot_post i.year*colony_esp i.year*colony_gbr i.year*colony_f
> ra i.year*colony_prt i.year*colony_oeu `ln_oworld_flexible' `ln_elevation_flexible' `ln_
> tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*colony~p   _IyeaXcol_#         (coded as above)
i.year*colony~r   _IyeaXcola#         (coded as above)
i.year*colony~a   _IyeaXcolb#         (coded as above)
i.year*colony~t   _IyeaXcolc#         (coded as above)
i.year*colony~u   _IyeaXcold#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 86, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.4576
                                                       Adj R-squared =  0.3583
                                                       Root MSE      =  .03863

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0036262   .0012707     2.85   0.005     .0011121    .0061403
 _Iyear_1100 |  -.0145104   .0273826    -0.53   0.597    -.0686875    .0396667
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  -.0262565   .0213848    -1.23   0.222    -.0685669     .016054
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |   .0131961   .0493605     0.27   0.790    -.0844649     .110857
 _Iyear_1700 |   .0290395    .038405     0.76   0.451    -.0469457    .1050247
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_esp |  (omitted)
_IyeaX~_1100 |   -.015603   .0265948    -0.59   0.558    -.0682214    .0370153
_IyeaX~_1200 |    .008086   .0168721     0.48   0.633    -.0252959     .041468
_IyeaX~_1300 |   .0118999   .0149748     0.79   0.428    -.0177281    .0415278
_IyeaX~_1400 |   .0052983   .0143012     0.37   0.712    -.0229969    .0335935
_IyeaX~_1500 |  -.0043553   .0145709    -0.30   0.765    -.0331843    .0244736
_IyeaX~_1600 |  -.0358502   .0370546    -0.97   0.335    -.1091636    .0374633
_IyeaX~_1700 |  -.0049759   .0147661    -0.34   0.737    -.0341909    .0242392
_IyeaX~_1750 |   .0183584   .0204727     0.90   0.372    -.0221474    .0588643
_IyeaX~_1800 |   .0275533    .020319     1.36   0.177    -.0126484    .0677549
_IyeaX~_1850 |   .0121475    .020489     0.59   0.554    -.0283905    .0526855
_IyeaX~_1900 |   .0083149   .0179786     0.46   0.645    -.0272562     .043886
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_gbr |  (omitted)
_IyeaX~a1100 |  -.0218237   .0297959    -0.73   0.465    -.0807755    .0371282
_IyeaX~a1200 |   .0091905   .0169229     0.54   0.588    -.0242919    .0426729
_IyeaX~a1300 |   .0055554   .0183158     0.30   0.762    -.0306828    .0417937
_IyeaX~a1400 |  -.0017632    .017875    -0.10   0.922    -.0371293     .033603
_IyeaX~a1500 |  -.0106565   .0175068    -0.61   0.544    -.0452942    .0239813
_IyeaX~a1600 |  -.0331014   .0283465    -1.17   0.245    -.0891856    .0229829
_IyeaX~a1700 |  -.0142008   .0181785    -0.78   0.436    -.0501673    .0217657
_IyeaX~a1750 |  -.0108526    .018175    -0.60   0.551    -.0468123     .025107
_IyeaX~a1800 |  -.0029611   .0183791    -0.16   0.872    -.0393245    .0334023
_IyeaX~a1850 |  -.0164749   .0179538    -0.92   0.361     -.051997    .0190471
_IyeaX~a1900 |   .0037597   .0210819     0.18   0.859    -.0379514    .0454708
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  -.0130242    .029235    -0.45   0.657    -.0708664    .0448179
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |   .1408012    .059265     2.38   0.019     .0235439    .2580584
  colony_fra |  (omitted)
_IyeaX~b1100 |  -.0173468    .030892    -0.56   0.575    -.0784673    .0437737
_IyeaX~b1200 |   .0142527   .0241667     0.59   0.556    -.0335617    .0620671
_IyeaX~b1300 |   .0190925   .0201628     0.95   0.345    -.0208001    .0589851
_IyeaX~b1400 |   .0152547   .0190843     0.80   0.426    -.0225041    .0530136
_IyeaX~b1500 |   .0094972   .0191611     0.50   0.621    -.0284135     .047408
_IyeaX~b1600 |  -.0253951   .0295929    -0.86   0.392    -.0839453    .0331551
_IyeaX~b1700 |  -.0022812   .0186975    -0.12   0.903    -.0392747    .0347123
_IyeaX~b1750 |   .0037453   .0165993     0.23   0.822    -.0290969    .0365875
_IyeaX~b1800 |    .009147   .0162345     0.56   0.574    -.0229732    .0412673
_IyeaX~b1850 |  -.0148557   .0167168    -0.89   0.376    -.0479304    .0182189
_IyeaX~b1900 |  -.0103009    .025807    -0.40   0.690    -.0613607    .0407588
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  -.0183528   .0180131    -1.02   0.310    -.0539922    .0172867
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |   .0335449   .0386485     0.87   0.387    -.0429221    .1100119
 _Iyear_1850 |    .040752   .0359756     1.13   0.259    -.0304266    .1119307
 _Iyear_1900 |  (omitted)
  colony_prt |  (omitted)
_IyeaX~c1100 |  -.0132903   .0222962    -0.60   0.552     -.057404    .0308234
_IyeaX~c1200 |   .0082668   .0156026     0.53   0.597    -.0226033     .039137
_IyeaX~c1300 |   .0107551   .0144697     0.74   0.459    -.0178736    .0393838
_IyeaX~c1400 |    .000579   .0137477     0.04   0.966    -.0266211    .0277791
_IyeaX~c1500 |   .0036154   .0156377     0.23   0.818    -.0273242    .0345551
_IyeaX~c1600 |  -.0395522   .0385506    -1.03   0.307    -.1158255    .0367211
_IyeaX~c1700 |  -.0121646   .0154342    -0.79   0.432    -.0427016    .0183724
_IyeaX~c1750 |   -.015654   .0145789    -1.07   0.285    -.0444986    .0131907
_IyeaX~c1800 |  -.0085723   .0135574    -0.63   0.528    -.0353959    .0182513
_IyeaX~c1850 |  -.0232953   .0136325    -1.71   0.090    -.0502675    .0036768
_IyeaX~c1900 |  -.0397321   .0224365    -1.77   0.079    -.0841233    .0046592
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_oeu |  (omitted)
_IyeaX~d1100 |   -.019135   .0262491    -0.73   0.467    -.0710694    .0327994
_IyeaX~d1200 |   .0051539   .0162174     0.32   0.751    -.0269327    .0372404
_IyeaX~d1300 |   .0116576   .0140227     0.83   0.407    -.0160866    .0394017
_IyeaX~d1400 |   .0044026   .0136664     0.32   0.748    -.0226368     .031442
_IyeaX~d1500 |  -.0060642   .0126591    -0.48   0.633    -.0311106    .0189822
_IyeaX~d1600 |  -.0271366   .0274569    -0.99   0.325    -.0814607    .0271876
_IyeaX~d1700 |  -.0025467   .0142083    -0.18   0.858    -.0306581    .0255646
_IyeaX~d1750 |   .0020933   .0140675     0.15   0.882    -.0257396    .0299262
_IyeaX~d1800 |   .0086031   .0143712     0.60   0.550    -.0198306    .0370369
_IyeaX~d1850 |  -.0027351   .0142464    -0.19   0.848     -.030922    .0254518
_IyeaX~d1900 |  -.0078942   .0244647    -0.32   0.747    -.0562983    .0405099
ln_owor~1100 |   -.004294   .0048806    -0.88   0.381    -.0139503    .0053624
ln_owor~1200 |  -.0001289   .0025015    -0.05   0.959    -.0050781    .0048204
ln_owor~1300 |  -.0000137   .0017478    -0.01   0.994    -.0034719    .0034444
ln_owor~1400 |   .0013341   .0016141     0.83   0.410    -.0018595    .0045278
ln_owor~1500 |   .0000191   .0017048     0.01   0.991    -.0033539    .0033922
ln_owor~1600 |  -.0004887   .0018532    -0.26   0.792    -.0041554    .0031779
ln_owor~1700 |   .0013612   .0016563     0.82   0.413    -.0019159    .0046383
ln_owor~1750 |  -.0019635   .0020578    -0.95   0.342    -.0060349    .0021078
ln_owor~1800 |  -.0009074   .0020463    -0.44   0.658    -.0049561    .0031413
ln_owor~1850 |  -.0021787   .0020147    -1.08   0.282    -.0061648    .0018073
ln_owor~1900 |   .0086024   .0027668     3.11   0.002     .0031282    .0140766
ln_elev~1100 |   .0080324   .0065413     1.23   0.222    -.0049096    .0209744
ln_elev~1200 |   .0025368   .0042315     0.60   0.550    -.0058353    .0109089
ln_elev~1300 |   .0021256   .0045685     0.47   0.643    -.0069132    .0111644
ln_elev~1400 |   .0006989   .0055602     0.13   0.900    -.0103021       .0117
ln_elev~1500 |   .0043085   .0056188     0.77   0.445    -.0068085    .0154255
ln_elev~1600 |  -.0004783   .0072817    -0.07   0.948    -.0148852    .0139287
ln_elev~1700 |  -.0048165   .0068147    -0.71   0.481    -.0182996    .0086666
ln_elev~1750 |  -.0056321   .0073461    -0.77   0.445    -.0201665    .0089023
ln_elev~1800 |  -.0067478   .0069328    -0.97   0.332    -.0204645    .0069688
ln_elev~1850 |   -.006138   .0065348    -0.94   0.349    -.0190673    .0067912
ln_elev~1900 |  -.0246131   .0095843    -2.57   0.011    -.0435758   -.0056504
ln_trop~1100 |   .0015725   .0019621     0.80   0.424    -.0023097    .0054546
ln_trop~1200 |  -.0004137    .001563    -0.26   0.792    -.0035062    .0026788
ln_trop~1300 |    .000219   .0015963     0.14   0.891    -.0029393    .0033772
ln_trop~1400 |  -.0006342   .0015211    -0.42   0.677    -.0036438    .0023754
ln_trop~1500 |   .0004938   .0016203     0.30   0.761    -.0027121    .0036996
ln_trop~1600 |   .0032161   .0034454     0.93   0.352    -.0036006    .0100329
ln_trop~1700 |  -.0005294   .0015276    -0.35   0.729    -.0035517    .0024929
ln_trop~1750 |   .0010206   .0015683     0.65   0.516    -.0020822    .0041235
ln_trop~1800 |   .0001774   .0015023     0.12   0.906    -.0027949    .0031497
ln_trop~1850 |   .0015929   .0015117     1.05   0.294    -.0013981    .0045839
ln_trop~1900 |  -.0058182   .0020354    -2.86   0.005    -.0098453   -.0017911
ln_rugg~1100 |  -.0119944   .0110136    -1.09   0.278    -.0337851    .0097964
ln_rugg~1200 |  -.0031972    .006069    -0.53   0.599     -.015205    .0088105
ln_rugg~1300 |  -.0038625   .0058854    -0.66   0.513     -.015507    .0077819
ln_rugg~1400 |  -.0073536   .0079736    -0.92   0.358    -.0231296    .0084224
ln_rugg~1500 |   -.003801   .0063479    -0.60   0.550    -.0163605    .0087586
ln_rugg~1600 |  -.0019781   .0080372    -0.25   0.806      -.01788    .0139238
ln_rugg~1700 |  -.0066449   .0069335    -0.96   0.340     -.020363    .0070732
ln_rugg~1750 |  -.0055945   .0066066    -0.85   0.399    -.0186659    .0074768
ln_rugg~1800 |  -.0048838   .0063883    -0.76   0.446    -.0175232    .0077555
ln_rugg~1850 |   -.007191   .0063249    -1.14   0.258     -.019705    .0053231
ln_rugg~1900 |  -.0030812   .0114851    -0.27   0.789    -.0258048    .0196424
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  -.0257972    .029084    -0.89   0.377    -.0833406    .0317461
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |   .0349295   .0424079     0.82   0.412    -.0489757    .1188346
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       _cons |   .0140255   .0038163     3.68   0.000     .0064749    .0215762
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Atlantic Trader (Col 6)
. xi: areg city_pop_share ln_wpot_post i.year*attrade `ln_oworld_flexible' `ln_elevation_f
> lexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*attrade    _IyeaXatt_#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 59, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.4497
                                                       Adj R-squared =  0.3701
                                                       Root MSE      =  .03853

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0035354   .0011611     3.04   0.003     .0012381    .0058327
 _Iyear_1100 |  -.0199113   .0298858    -0.67   0.506     -.079041    .0392184
 _Iyear_1200 |  -.0140683   .0178724    -0.79   0.433    -.0494292    .0212926
 _Iyear_1300 |  -.0252841   .0259139    -0.98   0.331    -.0765555    .0259872
 _Iyear_1400 |  -.0177428   .0315333    -0.56   0.575    -.0801321    .0446466
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  -.0041853    .043644    -0.10   0.924     -.090536    .0821655
 _Iyear_1700 |   .0121037   .0374768     0.32   0.747    -.0620451    .0862526
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |   .0224812   .0394784     0.57   0.570    -.0556278    .1005902
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |   .1370105   .0554145     2.47   0.015     .0273716    .2466494
     attrade |  (omitted)
_IyeaXa~1100 |   -.016325   .0205131    -0.80   0.428    -.0569106    .0242607
_IyeaXa~1200 |  -.0129617   .0196489    -0.66   0.511    -.0518376    .0259142
_IyeaXa~1300 |  -.0188999   .0275314    -0.69   0.494    -.0733715    .0355717
_IyeaXa~1400 |  -.0099146   .0357227    -0.28   0.782    -.0805929    .0607638
_IyeaXa~1500 |   -.010531   .0328155    -0.32   0.749    -.0754573    .0543953
_IyeaXa~1600 |   .0007492   .0295499     0.03   0.980    -.0577161    .0592145
_IyeaXa~1700 |   .0398027   .0508222     0.78   0.435    -.0607502    .1403556
_IyeaXa~1750 |   .0275919   .0425953     0.65   0.518    -.0566839    .1118677
_IyeaXa~1800 |   .0341838   .0387117     0.88   0.379    -.0424082    .1107758
_IyeaXa~1850 |   .0248931   .0377692     0.66   0.511    -.0498343    .0996204
_IyeaXa~1900 |   .0380722   .0437152     0.87   0.385    -.0484194    .1245639
ln_owor~1100 |  -.0025995   .0029281    -0.89   0.376    -.0083928    .0031938
ln_owor~1200 |   -.000655   .0014667    -0.45   0.656     -.003557    .0022469
ln_owor~1300 |    -.00033   .0010173    -0.32   0.746    -.0023428    .0016828
ln_owor~1400 |   .0014142   .0011897     1.19   0.237    -.0009397     .003768
ln_owor~1500 |   .0007307   .0009686     0.75   0.452    -.0011856     .002647
ln_owor~1600 |   .0017328   .0012749     1.36   0.176    -.0007897    .0042552
ln_owor~1700 |   .0017824   .0011217     1.59   0.115     -.000437    .0040018
ln_owor~1750 |  -.0016287   .0018114    -0.90   0.370    -.0052127    .0019552
ln_owor~1800 |   -.001171    .001729    -0.68   0.499    -.0045918    .0022498
ln_owor~1850 |  -.0013371   .0017776    -0.75   0.453    -.0048542      .00218
ln_owor~1900 |   .0081262   .0026761     3.04   0.003     .0028315     .013421
ln_elev~1100 |   .0062085   .0051392     1.21   0.229    -.0039596    .0163766
ln_elev~1200 |   .0030496   .0033795     0.90   0.369    -.0036368     .009736
ln_elev~1300 |   .0030048   .0039208     0.77   0.445    -.0047526    .0107621
ln_elev~1400 |   .0016918   .0049653     0.34   0.734    -.0081322    .0115158
ln_elev~1500 |   .0046235   .0050426     0.92   0.361    -.0053534    .0146004
ln_elev~1600 |   -.001589   .0078796    -0.20   0.841    -.0171789     .014001
ln_elev~1700 |  -.0033156   .0060767    -0.55   0.586    -.0153386    .0087073
ln_elev~1750 |  -.0041069   .0071363    -0.58   0.566    -.0182263    .0100124
ln_elev~1800 |  -.0047576   .0064676    -0.74   0.463    -.0175538    .0080387
ln_elev~1850 |  -.0060113   .0063321    -0.95   0.344    -.0185395    .0065169
ln_elev~1900 |  -.0237751   .0089845    -2.65   0.009    -.0415512    -.005999
ln_trop~1100 |   .0000711   .0008591     0.08   0.934    -.0016287    .0017708
ln_trop~1200 |   .0002044   .0007798     0.26   0.794    -.0013386    .0017473
ln_trop~1300 |   .0008285   .0007974     1.04   0.301    -.0007491    .0024061
ln_trop~1400 |  -.0004266   .0011992    -0.36   0.723    -.0027993     .001946
ln_trop~1500 |   .0001948   .0008328     0.23   0.815     -.001453    .0018425
ln_trop~1600 |   .0009932   .0015676     0.63   0.527    -.0021084    .0040948
ln_trop~1700 |  -.0008934   .0009713    -0.92   0.359    -.0028151    .0010283
ln_trop~1750 |   .0008715   .0012134     0.72   0.474    -.0015293    .0032722
ln_trop~1800 |   .0005815   .0011338     0.51   0.609    -.0016618    .0028248
ln_trop~1850 |   .0007658   .0011792     0.65   0.517    -.0015671    .0030988
ln_trop~1900 |   -.005932    .001792    -3.31   0.001    -.0094775   -.0023866
ln_rugg~1100 |  -.0105376   .0089369    -1.18   0.241    -.0282195    .0071443
ln_rugg~1200 |  -.0044686   .0046455    -0.96   0.338    -.0136597    .0047225
ln_rugg~1300 |  -.0058016   .0048594    -1.19   0.235     -.015416    .0038128
ln_rugg~1400 |  -.0091557   .0068379    -1.34   0.183    -.0226846    .0043733
ln_rugg~1500 |  -.0051455   .0053905    -0.95   0.342    -.0158108    .0055197
ln_rugg~1600 |  -.0008037   .0083954    -0.10   0.924    -.0174142    .0158068
ln_rugg~1700 |  -.0072593   .0061191    -1.19   0.238     -.019366    .0048475
ln_rugg~1750 |  -.0065052   .0061173    -1.06   0.290    -.0186084    .0055981
ln_rugg~1800 |  -.0060398   .0057181    -1.06   0.293    -.0173532    .0052736
ln_rugg~1850 |  -.0061277   .0056764    -1.08   0.282    -.0173585    .0051032
ln_rugg~1900 |  -.0022011   .0098917    -0.22   0.824    -.0217721    .0173699
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |   -.033098   .0312877    -1.06   0.292    -.0950015    .0288054
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |   .0208804   .0432122     0.48   0.630    -.0646161    .1063768
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |   .0289888   .0386555     0.75   0.455     -.047492    .1054696
 _Iyear_1900 |  (omitted)
       _cons |   .0139993   .0037583     3.72   0.000     .0065634    .0214352
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Roman (Col 7)
. xi: areg city_pop_share ln_wpot_post i.year*roman `ln_oworld_flexible' `ln_elevation_fle
> xible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*roman      _IyeaXrom_#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 63, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.4677
                                                       Adj R-squared =  0.3907
                                                       Root MSE      =  .03795

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0032824   .0011443     2.87   0.005     .0010184    .0055463
 _Iyear_1100 |  -.0224103   .0303347    -0.74   0.461    -.0824283    .0376077
 _Iyear_1200 |  -.0160761   .0178788    -0.90   0.370    -.0514496    .0192975
 _Iyear_1300 |  -.0287826   .0264871    -1.09   0.279    -.0811879    .0236227
 _Iyear_1400 |  -.0271676   .0318277    -0.85   0.395    -.0901395    .0358043
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  -.0096386   .0441521    -0.22   0.828    -.0969947    .0777175
 _Iyear_1700 |   .0043178    .037775     0.11   0.909     -.070421    .0790566
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |    .016512   .0401537     0.41   0.682     -.062933     .095957
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |   .1107064   .0493524     2.24   0.027     .0130615    .2083513
       roman |  (omitted)
_IyeaXr~1100 |  -.0011654   .0145004    -0.08   0.936    -.0298547    .0275239
_IyeaXr~1200 |  -.0008428   .0133266    -0.06   0.950      -.02721    .0255243
_IyeaXr~1300 |   .0007645    .018422     0.04   0.967    -.0356838    .0372128
_IyeaXr~1400 |    .026765   .0290901     0.92   0.359    -.0307904    .0843204
_IyeaXr~1500 |   .0198078   .0239822     0.83   0.410    -.0276417    .0672572
_IyeaXr~1600 |   .0190105   .0186913     1.02   0.311    -.0179707    .0559918
_IyeaXr~1700 |   .0511409   .0285141     1.79   0.075    -.0052749    .1075567
_IyeaXr~1750 |   .0363532   .0249055     1.46   0.147     -.012923    .0856294
_IyeaXr~1800 |   .0417754   .0231213     1.81   0.073    -.0039706    .0875214
_IyeaXr~1850 |    .061403   .0285013     2.15   0.033     .0050124    .1177936
_IyeaXr~1900 |   .1170705   .0503011     2.33   0.022     .0175486    .2165925
ln_owor~1100 |  -.0027545   .0029528    -0.93   0.353    -.0085966    .0030876
ln_owor~1200 |  -.0007798   .0015188    -0.51   0.609    -.0037849    .0022252
ln_owor~1300 |  -.0005537   .0010959    -0.51   0.614    -.0027219    .0016145
ln_owor~1400 |   .0007419   .0012581     0.59   0.556    -.0017473    .0032311
ln_owor~1500 |   .0001927   .0010239     0.19   0.851    -.0018332    .0022185
ln_owor~1600 |   .0013308   .0013255     1.00   0.317    -.0012917    .0039534
ln_owor~1700 |   .0011455   .0011583     0.99   0.325    -.0011462    .0034372
ln_owor~1750 |  -.0018541   .0018739    -0.99   0.324    -.0055617    .0018535
ln_owor~1800 |  -.0014359   .0017798    -0.81   0.421    -.0049573    .0020854
ln_owor~1850 |  -.0020981   .0017374    -1.21   0.229    -.0055356    .0013393
ln_owor~1900 |   .0063787   .0023216     2.75   0.007     .0017853     .010972
ln_elev~1100 |   .0066622   .0052101     1.28   0.203    -.0036461    .0169705
ln_elev~1200 |   .0034141   .0033602     1.02   0.312    -.0032341    .0100624
ln_elev~1300 |   .0036395   .0040126     0.91   0.366    -.0042995    .0115786
ln_elev~1400 |   .0033975   .0050377     0.67   0.501    -.0065697    .0133647
ln_elev~1500 |   .0059968   .0051279     1.17   0.244     -.004149    .0161426
ln_elev~1600 |  -.0006038   .0079695    -0.08   0.940    -.0163717    .0151641
ln_elev~1700 |  -.0019118   .0061298    -0.31   0.756    -.0140397    .0102161
ln_elev~1750 |  -.0031544   .0072724    -0.43   0.665     -.017543    .0112343
ln_elev~1800 |  -.0037344   .0065687    -0.57   0.571    -.0167308     .009262
ln_elev~1850 |  -.0037102   .0061958    -0.60   0.550    -.0159687    .0085484
ln_elev~1900 |  -.0190683   .0077606    -2.46   0.015    -.0344228   -.0037138
ln_trop~1100 |   .0001797   .0009087     0.20   0.844    -.0016183    .0019776
ln_trop~1200 |   .0002918   .0008385     0.35   0.728    -.0013672    .0019507
ln_trop~1300 |   .0009843   .0008581     1.15   0.254    -.0007136    .0026821
ln_trop~1400 |   .0000322   .0012109     0.03   0.979    -.0023635    .0024279
ln_trop~1500 |   .0005631   .0008296     0.68   0.499    -.0010783    .0022044
ln_trop~1600 |   .0012674    .001565     0.81   0.420     -.001829    .0043638
ln_trop~1700 |   -.000468   .0009979    -0.47   0.640    -.0024424    .0015064
ln_trop~1750 |   .0010797   .0012691     0.85   0.396    -.0014312    .0035906
ln_trop~1800 |   .0008153   .0011824     0.69   0.492     -.001524    .0031546
ln_trop~1850 |   .0013364   .0011702     1.14   0.256    -.0009789    .0036517
ln_trop~1900 |  -.0046978   .0016137    -2.91   0.004    -.0078904   -.0015051
ln_rugg~1100 |  -.0105925   .0090039    -1.18   0.242     -.028407     .007222
ln_rugg~1200 |  -.0045145   .0047552    -0.95   0.344    -.0139229    .0048938
ln_rugg~1300 |  -.0059249   .0050058    -1.18   0.239    -.0158289    .0039791
ln_rugg~1400 |   -.009972   .0069504    -1.43   0.154    -.0237236    .0037796
ln_rugg~1500 |  -.0057719   .0055075    -1.05   0.297    -.0166687    .0051248
ln_rugg~1600 |  -.0013485   .0084758    -0.16   0.874    -.0181181    .0154212
ln_rugg~1700 |  -.0084903   .0062176    -1.37   0.174    -.0207919    .0038114
ln_rugg~1750 |  -.0072327   .0062268    -1.16   0.248    -.0195525    .0050871
ln_rugg~1800 |  -.0068832   .0058202    -1.18   0.239    -.0183986    .0046323
ln_rugg~1850 |  -.0075651   .0056963    -1.33   0.187    -.0188353    .0037052
ln_rugg~1900 |  -.0051148   .0097578    -0.52   0.601    -.0244208    .0141913
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  -.0406876   .0316825    -1.28   0.201    -.1033722     .021997
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |   .0153046   .0440703     0.35   0.729    -.0718895    .1024987
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |   .0159704   .0381887     0.42   0.676    -.0595869    .0915277
 _Iyear_1900 |  (omitted)
       _cons |   .0140595    .003701     3.80   0.000     .0067369     .021382
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Protestant (Col 8)
. xi: areg city_pop_share ln_wpot_post i.year*protestant `ln_oworld_flexible' `ln_elevatio
> n_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isoco
> de)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*protes~t   _IyeaXpro_#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 65, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.4645
                                                       Adj R-squared =  0.3871
                                                       Root MSE      =  .03809

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0028789   .0011623     2.48   0.015     .0005792    .0051786
 _Iyear_1100 |  -.0245022   .0308695    -0.79   0.429    -.0855783    .0365738
 _Iyear_1200 |  -.0182194   .0178537    -1.02   0.309    -.0535433    .0171045
 _Iyear_1300 |   -.034846   .0261956    -1.33   0.186    -.0866746    .0169826
 _Iyear_1400 |   -.020927   .0327461    -0.64   0.524    -.0857159    .0438619
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  -.0096253   .0441258    -0.22   0.828    -.0969292    .0776786
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |   .0177285   .0396013     0.45   0.655    -.0606236    .0960806
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |   .1050724   .0478303     2.20   0.030      .010439    .1997058
  protestant |  (omitted)
_IyeaXp~1100 |   .0050844   .0098477     0.52   0.607    -.0143996    .0245684
_IyeaXp~1200 |   .0055001   .0077822     0.71   0.481    -.0098973    .0208974
_IyeaXp~1300 |   .0181672   .0094102     1.93   0.056    -.0004512    .0367855
_IyeaXp~1400 |   .0053525   .0154807     0.35   0.730    -.0252764    .0359815
_IyeaXp~1500 |   .0119857   .0106747     1.12   0.264    -.0091343    .0331058
_IyeaXp~1600 |   .0168084   .0116423     1.44   0.151    -.0062262     .039843
_IyeaXp~1700 |   .0329267   .0177812     1.85   0.066    -.0022537    .0681072
_IyeaXp~1750 |   .0301149   .0173122     1.74   0.084    -.0041378    .0643675
_IyeaXp~1800 |   .0320188   .0169087     1.89   0.061    -.0014354    .0654731
_IyeaXp~1850 |   .0461275   .0219071     2.11   0.037     .0027837    .0894713
_IyeaXp~1900 |   .1104898   .0420907     2.63   0.010     .0272124    .1937673
ln_owor~1100 |  -.0028837   .0028935    -1.00   0.321    -.0086087    .0028412
ln_owor~1200 |  -.0009109   .0015113    -0.60   0.548    -.0039011    .0020793
ln_owor~1300 |  -.0009123   .0011416    -0.80   0.426     -.003171    .0013464
ln_owor~1400 |   .0012385   .0013689     0.90   0.367    -.0014698    .0039469
ln_owor~1500 |   .0004044   .0011093     0.36   0.716    -.0017903    .0025991
ln_owor~1600 |   .0014216   .0013778     1.03   0.304    -.0013044    .0041477
ln_owor~1700 |   .0015364   .0012721     1.21   0.229    -.0009805    .0040533
ln_owor~1750 |  -.0013153   .0019112    -0.69   0.493    -.0050967     .002466
ln_owor~1800 |  -.0008288    .001808    -0.46   0.647     -.004406    .0027483
ln_owor~1850 |  -.0014003    .001806    -0.78   0.440    -.0049736     .002173
ln_owor~1900 |   .0068048   .0022341     3.05   0.003     .0023845     .011225
ln_elev~1100 |   .0070236   .0051127     1.37   0.172     -.003092    .0171392
ln_elev~1200 |   .0037834   .0033286     1.14   0.258    -.0028022    .0103691
ln_elev~1300 |   .0046756   .0039429     1.19   0.238    -.0031256    .0124767
ln_elev~1400 |   .0022626   .0051507     0.44   0.661    -.0079283    .0124535
ln_elev~1500 |   .0056146    .005124     1.10   0.275    -.0045234    .0157526
ln_elev~1600 |   -.000654   .0079475    -0.08   0.935    -.0163784    .0150704
ln_elev~1700 |    -.00261   .0061071    -0.43   0.670    -.0146931    .0094731
ln_elev~1750 |  -.0034046   .0072069    -0.47   0.637    -.0176637    .0108544
ln_elev~1800 |  -.0041434   .0064571    -0.64   0.522    -.0169189    .0086322
ln_elev~1850 |  -.0042571   .0060299    -0.71   0.481    -.0161875    .0076733
ln_elev~1900 |  -.0185338   .0074852    -2.48   0.015    -.0333435   -.0037241
ln_trop~1100 |    .000281   .0009653     0.29   0.771    -.0016288    .0021908
ln_trop~1200 |   .0003954   .0008601     0.46   0.646    -.0013063    .0020972
ln_trop~1300 |   .0012762   .0009015     1.42   0.159    -.0005075    .0030599
ln_trop~1400 |  -.0003121   .0013468    -0.23   0.817    -.0029769    .0023526
ln_trop~1500 |   .0004337   .0009272     0.47   0.641    -.0014008    .0022681
ln_trop~1600 |   .0012361   .0016091     0.77   0.444    -.0019476    .0044198
ln_trop~1700 |  -.0006472   .0010912    -0.59   0.554    -.0028061    .0015117
ln_trop~1750 |   .0008843   .0013208     0.67   0.504    -.0017289    .0034976
ln_trop~1800 |   .0005802   .0012227     0.47   0.636    -.0018389    .0029993
ln_trop~1850 |    .001088   .0012262     0.89   0.377     -.001338    .0035141
ln_trop~1900 |  -.0045438   .0016321    -2.78   0.006     -.007773   -.0013146
ln_rugg~1100 |  -.0106486   .0089335    -1.19   0.235    -.0283238    .0070267
ln_rugg~1200 |  -.0045634   .0046417    -0.98   0.327    -.0137471    .0046204
ln_rugg~1300 |  -.0059858   .0048423    -1.24   0.219    -.0155664    .0035947
ln_rugg~1400 |  -.0094177   .0068795    -1.37   0.173    -.0230289    .0041935
ln_rugg~1500 |  -.0053989   .0053909    -1.00   0.318    -.0160649     .005267
ln_rugg~1600 |   -.000989   .0083951    -0.12   0.906    -.0175988    .0156209
ln_rugg~1700 |  -.0072097   .0061443    -1.17   0.243    -.0193664    .0049469
ln_rugg~1750 |  -.0061172   .0060563    -1.01   0.314    -.0180998    .0058653
ln_rugg~1800 |  -.0056137   .0056818    -0.99   0.325    -.0168554    .0056279
ln_rugg~1850 |  -.0057253   .0055784    -1.03   0.307    -.0167623    .0053117
ln_rugg~1900 |  -.0016141   .0096461    -0.17   0.867    -.0206991    .0174709
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  -.0387407   .0318467    -1.22   0.226    -.1017501    .0242688
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |   .0075705   .0378054     0.20   0.842    -.0672284    .0823694
 _Iyear_1750 |   .0156848    .043784     0.36   0.721    -.0709429    .1023126
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |   .0176533   .0372547     0.47   0.636    -.0560561    .0913627
 _Iyear_1900 |  (omitted)
       _cons |   .0138649   .0036912     3.76   0.000     .0065617    .0211681
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Distance from coast (Col 9)
. xi: areg city_pop_share ln_wpot_post `ln_dist_coast_flexible' `ln_oworld_flexible' `ln_e
> levation_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluste
> r(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 67,   129) =    4.29
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4686
                                                       Adj R-squared =  0.3918
                                                       Root MSE      =  .03797

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |     .00297   .0011006     2.70   0.008     .0007925    .0051475
ln_dist_~100 |   .0179252   .0139392     1.29   0.201    -.0096539    .0455044
ln_dist_~200 |   .0094898   .0065204     1.46   0.148    -.0034109    .0223905
ln_dist_~300 |   .0001877   .0044734     0.04   0.967     -.008663    .0090384
ln_dist_~400 |   .0034147   .0039511     0.86   0.389    -.0044027    .0112322
ln_dist_~500 |    .001302   .0040311     0.32   0.747    -.0066736    .0092775
ln_dist_~600 |   .0007681   .0059579     0.13   0.898    -.0110199     .012556
ln_dist_~700 |   -.006919   .0048415    -1.43   0.155     -.016498    .0026601
ln_dist_~750 |  -.0071987   .0058673    -1.23   0.222    -.0188073      .00441
ln_dist_~800 |  -.0072328   .0054259    -1.33   0.185    -.0179682    .0035026
ln_dist_~850 |  -.0064637   .0060943    -1.06   0.291    -.0185213     .005594
ln_dist_~900 |  -.0235624   .0100681    -2.34   0.021    -.0434824   -.0036423
ln_owor~1100 |  -.0045324   .0041052    -1.10   0.272    -.0126546    .0035898
ln_owor~1200 |  -.0017258   .0019243    -0.90   0.371    -.0055331    .0020816
ln_owor~1300 |   -.000556   .0011787    -0.47   0.638    -.0028881     .001776
ln_owor~1400 |   .0010029   .0013204     0.76   0.449    -.0016095    .0036153
ln_owor~1500 |   .0005145   .0011209     0.46   0.647    -.0017033    .0027323
ln_owor~1600 |   .0016875   .0011312     1.49   0.138    -.0005506    .0039257
ln_owor~1700 |   .0028863   .0013086     2.21   0.029     .0002971    .0054755
ln_owor~1750 |  -.0000869   .0020783    -0.04   0.967    -.0041989    .0040251
ln_owor~1800 |   .0004442   .0019271     0.23   0.818    -.0033686     .004257
ln_owor~1850 |   .0001058   .0020608     0.05   0.959    -.0039716    .0041832
ln_owor~1900 |   .0113416   .0031099     3.65   0.000     .0051887    .0174945
ln_elev~1100 |  -.0151053   .0146205    -1.03   0.303    -.0440323    .0138218
ln_elev~1200 |  -.0080981   .0066312    -1.22   0.224    -.0212181    .0050219
ln_elev~1300 |   .0033714   .0056404     0.60   0.551    -.0077883     .014531
ln_elev~1400 |   -.002228   .0067313    -0.33   0.741     -.015546      .01109
ln_elev~1500 |   .0033081   .0068998     0.48   0.632    -.0103434    .0169596
ln_elev~1600 |  -.0025989   .0133054    -0.20   0.845    -.0289239    .0237262
ln_elev~1700 |   .0038767     .00761     0.51   0.611    -.0111799    .0189332
ln_elev~1750 |   .0036235   .0069832     0.52   0.605    -.0101929    .0174398
ln_elev~1800 |   .0028113   .0066577     0.42   0.674    -.0103611    .0159837
ln_elev~1850 |   .0009029   .0070761     0.13   0.899    -.0130973    .0149031
ln_elev~1900 |   .0036563   .0133751     0.27   0.785    -.0228068    .0301194
ln_trop~1100 |   .0010914     .00082     1.33   0.186     -.000531    .0027138
ln_trop~1200 |   .0007777   .0008125     0.96   0.340    -.0008298    .0023852
ln_trop~1300 |   .0009828   .0008126     1.21   0.229    -.0006249    .0025905
ln_trop~1400 |  -.0001967   .0012741    -0.15   0.878    -.0027175    .0023241
ln_trop~1500 |   .0003257   .0009476     0.34   0.732    -.0015492    .0022006
ln_trop~1600 |   .0010148   .0018064     0.56   0.575    -.0025592    .0045889
ln_trop~1700 |  -.0015365   .0011128    -1.38   0.170    -.0037382    .0006652
ln_trop~1750 |   .0000699   .0013661     0.05   0.959    -.0026329    .0027727
ln_trop~1800 |  -.0002703   .0012523    -0.22   0.829    -.0027481    .0022074
ln_trop~1850 |   .0000202   .0013098     0.02   0.988    -.0025712    .0026116
ln_trop~1900 |  -.0076129   .0019391    -3.93   0.000    -.0114494   -.0037763
ln_rugg~1100 |   .0065582   .0074793     0.88   0.382    -.0082398    .0213563
ln_rugg~1200 |   .0045589   .0047361     0.96   0.338    -.0048115    .0139293
ln_rugg~1300 |  -.0057234   .0041662    -1.37   0.172    -.0139664    .0025196
ln_rugg~1400 |  -.0057922   .0074272    -0.78   0.437     -.020487    .0089027
ln_rugg~1500 |  -.0038421   .0060345    -0.64   0.525    -.0157815    .0080974
ln_rugg~1600 |   .0000395    .012209     0.00   0.997    -.0241162    .0241952
ln_rugg~1700 |  -.0136934    .006696    -2.05   0.043    -.0269417   -.0004452
ln_rugg~1750 |  -.0129248   .0065072    -1.99   0.049    -.0257994   -.0000501
ln_rugg~1800 |  -.0124579   .0060674    -2.05   0.042    -.0244623   -.0004534
ln_rugg~1850 |   -.011846    .006459    -1.83   0.069    -.0246252    .0009333
ln_rugg~1900 |  -.0244955    .013545    -1.81   0.073    -.0512945    .0023035
 _Iyear_1100 |   .0251634   .0508784     0.49   0.622    -.0755008    .1258276
 _Iyear_1200 |   .0090453   .0218241     0.41   0.679    -.0341341    .0522248
 _Iyear_1300 |   -.028062   .0245418    -1.14   0.255    -.0766186    .0204946
 _Iyear_1400 |  -.0099308   .0313946    -0.32   0.752    -.0720457    .0521841
 _Iyear_1500 |  -.0311052   .0315977    -0.98   0.327    -.0936221    .0314117
 _Iyear_1600 |  -.0017226   .0526859    -0.03   0.974    -.1059629    .1025177
 _Iyear_1700 |   .0004009   .0377008     0.01   0.992    -.0741911     .074993
 _Iyear_1750 |   .0067039   .0360696     0.19   0.853    -.0646606    .0780684
 _Iyear_1800 |   .0093309   .0338397     0.28   0.783    -.0576218    .0762836
 _Iyear_1850 |   .0163424   .0327494     0.50   0.619    -.0484531    .0811379
 _Iyear_1900 |   .0803521   .0537768     1.49   0.138    -.0260466    .1867508
       _cons |   .0139581   .0037646     3.71   0.000     .0065097    .0214065
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Slave exports (Col 10)
. xi: areg city_pop_share ln_wpot_post `ln_export_flexible' `ln_oworld_flexible' `ln_eleva
> tion_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(is
> ocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 62,   129) =    3.03
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4497
                                                       Adj R-squared =  0.3724
                                                       Root MSE      =  .03857

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0036738    .001145     3.21   0.002     .0014084    .0059393
ln_expo~1100 |  (omitted)
ln_expo~1200 |  (omitted)
ln_expo~1300 |  (omitted)
ln_expo~1400 |  (omitted)
ln_expo~1500 |  (omitted)
ln_expo~1600 |  -.0009121   .0015443    -0.59   0.556    -.0039674    .0021433
ln_expo~1700 |   .0001329   .0006563     0.20   0.840    -.0011656    .0014313
ln_expo~1750 |   .0001225    .000629     0.19   0.846    -.0011219    .0013669
ln_expo~1800 |   .0001216   .0006344     0.19   0.848    -.0011335    .0013768
ln_expo~1850 |   .0000447    .000674     0.07   0.947    -.0012888    .0013783
ln_expo~1900 |  -.0042089   .0025703    -1.64   0.104    -.0092943    .0008764
ln_owor~1100 |  -.0027789   .0029585    -0.94   0.349    -.0086324    .0030747
ln_owor~1200 |  -.0007974   .0014554    -0.55   0.585     -.003677    .0020822
ln_owor~1300 |  -.0005377   .0010119    -0.53   0.596    -.0025398    .0014644
ln_owor~1400 |   .0013157     .00114     1.15   0.251    -.0009399    .0035713
ln_owor~1500 |   .0006257   .0009711     0.64   0.521    -.0012956    .0025469
ln_owor~1600 |   .0016785   .0011538     1.45   0.148    -.0006043    .0039613
ln_owor~1700 |   .0022115   .0011135     1.99   0.049     8.53e-06    .0044145
ln_owor~1750 |  -.0014669   .0017435    -0.84   0.402    -.0049165    .0019826
ln_owor~1800 |   -.000939   .0016684    -0.56   0.575      -.00424     .002362
ln_owor~1850 |  -.0011989   .0017186    -0.70   0.487    -.0045992    .0022015
ln_owor~1900 |   .0085006   .0025814     3.29   0.001     .0033933    .0136079
ln_elev~1100 |   .0067226   .0050428     1.33   0.185    -.0032548       .0167
ln_elev~1200 |   .0034578   .0033005     1.05   0.297    -.0030722    .0099878
ln_elev~1300 |   .0035999   .0037053     0.97   0.333     -.003731    .0109309
ln_elev~1400 |   .0019858   .0047097     0.42   0.674    -.0073325    .0113041
ln_elev~1500 |   .0049365   .0047888     1.03   0.305    -.0045382    .0144113
ln_elev~1600 |   -.000612   .0063618    -0.10   0.924    -.0131989    .0119749
ln_elev~1700 |  -.0046971   .0061011    -0.77   0.443    -.0167682     .007374
ln_elev~1750 |  -.0050817   .0067948    -0.75   0.456    -.0185254     .008362
ln_elev~1800 |  -.0059345   .0062536    -0.95   0.344    -.0183073    .0064383
ln_elev~1850 |  -.0068181   .0060517    -1.13   0.262    -.0187916    .0051553
ln_elev~1900 |   -.018174   .0103215    -1.76   0.081    -.0385953    .0022474
ln_trop~1100 |   .0001962   .0008183     0.24   0.811    -.0014228    .0018153
ln_trop~1200 |   .0003037   .0007483     0.41   0.685    -.0011769    .0017844
ln_trop~1300 |   .0009734   .0007683     1.27   0.207    -.0005466    .0024934
ln_trop~1400 |  -.0003601   .0011452    -0.31   0.754    -.0026258    .0019057
ln_trop~1500 |   .0002659   .0008237     0.32   0.747    -.0013637    .0018955
ln_trop~1600 |   .0013215   .0020661     0.64   0.524    -.0027663    .0054093
ln_trop~1700 |  -.0012505   .0010446    -1.20   0.233    -.0033173    .0008164
ln_trop~1750 |   .0006598   .0012089     0.55   0.586    -.0017321    .0030517
ln_trop~1800 |   .0003217   .0011178     0.29   0.774      -.00189    .0025333
ln_trop~1850 |   .0006124   .0011769     0.52   0.604    -.0017162    .0029409
ln_trop~1900 |  -.0041993   .0023385    -1.80   0.075    -.0088262    .0004275
ln_rugg~1100 |  -.0106255   .0089225    -1.19   0.236    -.0282789     .007028
ln_rugg~1200 |  -.0045384   .0046219    -0.98   0.328     -.013683    .0046062
ln_rugg~1300 |  -.0059033     .00482    -1.22   0.223    -.0154397    .0036331
ln_rugg~1400 |  -.0092159   .0068368    -1.35   0.180    -.0227428    .0043109
ln_rugg~1500 |   -.005209   .0053609    -0.97   0.333    -.0158157    .0053976
ln_rugg~1600 |  -.0022509   .0067054    -0.34   0.738    -.0155177    .0110158
ln_rugg~1700 |  -.0068531   .0062326    -1.10   0.274    -.0191846    .0054783
ln_rugg~1750 |  -.0062237   .0062454    -1.00   0.321    -.0185804     .006133
ln_rugg~1800 |  -.0057252   .0059773    -0.96   0.340    -.0175515    .0061011
ln_rugg~1850 |  -.0059952   .0060066    -1.00   0.320    -.0178793    .0058889
ln_rugg~1900 |  -.0110435   .0134526    -0.82   0.413    -.0376597    .0155727
 _Iyear_1100 |   -.022744   .0286308    -0.79   0.428    -.0793908    .0339028
 _Iyear_1200 |  -.0163174    .017135    -0.95   0.343    -.0502194    .0175846
 _Iyear_1300 |  -.0285637   .0245941    -1.16   0.248    -.0772237    .0200964
 _Iyear_1400 |  -.0193535   .0300231    -0.64   0.520    -.0787549     .040048
 _Iyear_1500 |  -.0348133   .0298105    -1.17   0.245    -.0937941    .0241675
 _Iyear_1600 |  -.0091527    .036396    -0.25   0.802     -.081163    .0628577
 _Iyear_1700 |   .0197418   .0381318     0.52   0.606     -.055703    .0951865
 _Iyear_1750 |   .0264739   .0416238     0.64   0.526    -.0558799    .1088277
 _Iyear_1800 |   .0291865    .038597     0.76   0.451    -.0471786    .1055515
 _Iyear_1850 |   .0336103   .0373536     0.90   0.370    -.0402948    .1075154
 _Iyear_1900 |   .1045881   .0635632     1.65   0.102    -.0211733    .2303495
       _cons |   .0139814   .0037489     3.73   0.000      .006564    .0213987
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * All controls (Col 11)
. xi: areg city_pop_share ln_wpot_post `ln_disteq_flexible' `malaria_flexible' i.year*lego
> r_gbr i.year*legor_fra i.year*legor_deu i.year*legor_soc i.year*colony_esp i.year*colony
> _gbr i.year*colony_fra i.year*colony_prt i.year*colony_oeu i.year*attrade i.year*roman i
> .year*protestant `ln_dist_coast_flexible' `ln_export_flexible' `ln_oworld_flexible' `ln_
> elevation_flexible' `ln_tropical_flexible' `ln_rugged_flexible' i.year, a(isocode) clust
> er(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*legor_~r   _IyeaXleg_#         (coded as above)
i.year*legor~ra   _IyeaXlega#         (coded as above)
i.year*legor_~u   _IyeaXlegb#         (coded as above)
i.year*legor_~c   _IyeaXlegc#         (coded as above)
i.year*colony~p   _IyeaXcol_#         (coded as above)
i.year*colony~r   _IyeaXcola#         (coded as above)
i.year*colony~a   _IyeaXcolb#         (coded as above)
i.year*colony~t   _IyeaXcolc#         (coded as above)
i.year*colony~u   _IyeaXcold#         (coded as above)
i.year*attrade    _IyeaXatt_#         (coded as above)
i.year*roman      _IyeaXrom_#         (coded as above)
i.year*protes~t   _IyeaXpro_#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 129, 129)  =       .
                                                       Prob > F      =
                                                       R-squared     =  0.5548
                                                       Adj R-squared =  0.4222
                                                       Root MSE      =  .03558

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0028783    .001292     2.23   0.028     .0003221    .0054345
ln_diste~100 |  -.0002758   .0027469    -0.10   0.920    -.0057105     .005159
ln_diste~200 |   .0002628   .0023211     0.11   0.910    -.0043296    .0048551
ln_diste~300 |   .0041794     .00267     1.57   0.120    -.0011032     .009462
ln_diste~400 |   .0064525   .0040289     1.60   0.112    -.0015188    .0144238
ln_diste~500 |   .0071996   .0035836     2.01   0.047     .0001094    .0142899
ln_diste~600 |   .0078946   .0043744     1.80   0.073    -.0007604    .0165496
ln_diste~700 |   .0065336   .0039777     1.64   0.103    -.0013365    .0144036
ln_diste~750 |     .00669    .004882     1.37   0.173    -.0029692    .0163491
ln_diste~800 |   .0051812   .0043582     1.19   0.237    -.0034415    .0138039
ln_diste~850 |    .004302   .0041778     1.03   0.305    -.0039639    .0125678
ln_diste~900 |   .0208928   .0096356     2.17   0.032     .0018285    .0399571
malaria_1100 |  -.0013517   .0011197    -1.21   0.230    -.0035671    .0008636
malaria_1200 |  -.0014092   .0008572    -1.64   0.103    -.0031051    .0002867
malaria_1300 |  -.0007028   .0007063    -1.00   0.322    -.0021001    .0006946
malaria_1400 |  -.0014131   .0009616    -1.47   0.144    -.0033156    .0004895
malaria_1500 |  -.0003771   .0007739    -0.49   0.627    -.0019083    .0011542
malaria_1600 |  -.0003727   .0007693    -0.48   0.629    -.0018948    .0011493
malaria_1700 |  -.0011776   .0007715    -1.53   0.129    -.0027039    .0003488
malaria_1750 |  -.0001193   .0009551    -0.12   0.901    -.0020091    .0017704
malaria_1800 |  -.0000809   .0008709    -0.09   0.926    -.0018039    .0016421
malaria_1850 |   -.000219   .0008477    -0.26   0.797    -.0018962    .0014581
malaria_1900 |  -.0027615   .0011038    -2.50   0.014    -.0049454   -.0005777
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_gbr |  (omitted)
_Iyea~g_1100 |  -.0160479   .0194415    -0.83   0.411    -.0545134    .0224176
_Iyea~g_1200 |  -.0129769   .0146891    -0.88   0.379    -.0420397    .0160859
_Iyea~g_1300 |   .0003466   .0164871     0.02   0.983    -.0322735    .0329668
_Iyea~g_1400 |  -.0335506   .0222501    -1.51   0.134     -.077573    .0104718
_Iyea~g_1500 |  -.0081697   .0217279    -0.38   0.708     -.051159    .0348195
_Iyea~g_1600 |   .0457197   .0504721     0.91   0.367    -.0541406    .1455799
_Iyea~g_1700 |   .0153226   .0282465     0.54   0.588    -.0405638    .0712089
_Iyea~g_1750 |   .0339494   .0390866     0.87   0.387    -.0433845    .1112833
_Iyea~g_1800 |   .0146619   .0347907     0.42   0.674    -.0541723    .0834961
_Iyea~g_1850 |   .0338082   .0325186     1.04   0.300    -.0305307    .0981471
_Iyea~g_1900 |    .066901   .0440831     1.52   0.132    -.0203184    .1541204
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_fra |  (omitted)
_Iyea~ga1100 |  -.0106685   .0183099    -0.58   0.561    -.0468951     .025558
_Iyea~ga1200 |   -.008928   .0111998    -0.80   0.427    -.0310872    .0132311
_Iyea~ga1300 |   .0109274    .013697     0.80   0.426    -.0161726    .0380273
_Iyea~ga1400 |  -.0167321   .0225873    -0.74   0.460    -.0614216    .0279574
_Iyea~ga1500 |    .001615   .0194658     0.08   0.934    -.0368985    .0401285
_Iyea~ga1600 |   .0319724   .0317402     1.01   0.316    -.0308263    .0947711
_Iyea~ga1700 |   .0164457   .0234118     0.70   0.484     -.029875    .0627665
_Iyea~ga1750 |   .0254042   .0241287     1.05   0.294     -.022335    .0731435
_Iyea~ga1800 |   .0130336   .0238835     0.55   0.586    -.0342205    .0602877
_Iyea~ga1850 |   .0176736   .0245752     0.72   0.473     -.030949    .0662962
_Iyea~ga1900 |    .047961   .0374551     1.28   0.203    -.0261448    .1220668
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_deu |  (omitted)
_Iyea~gb1100 |   .0033098   .0169197     0.20   0.845    -.0301662    .0367858
_Iyea~gb1200 |   -.003864   .0107142    -0.36   0.719    -.0250624    .0173343
_Iyea~gb1300 |   .0048824   .0118457     0.41   0.681    -.0185547    .0283195
_Iyea~gb1400 |  -.0135182   .0210621    -0.64   0.522      -.05519    .0281537
_Iyea~gb1500 |  -.0079256   .0206724    -0.38   0.702    -.0488265    .0329753
_Iyea~gb1600 |   .0010502   .0131352     0.08   0.936    -.0249381    .0270385
_Iyea~gb1700 |   .0033343   .0240846     0.14   0.890    -.0443177    .0509864
_Iyea~gb1750 |   .0112804   .0217768     0.52   0.605    -.0318056    .0543663
_Iyea~gb1800 |   .0090917   .0235982     0.39   0.701    -.0375978    .0557813
_Iyea~gb1850 |   .0295414   .0317491     0.93   0.354     -.033275    .0923579
_Iyea~gb1900 |   .0933435   .0626377     1.49   0.139    -.0305866    .2172737
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |   .0116929   .0452843     0.26   0.797    -.0779031     .101289
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   legor_soc |  (omitted)
_Iyea~gc1100 |  -.0076784   .0217833    -0.35   0.725    -.0507773    .0354205
_Iyea~gc1200 |  -.0188758   .0192813    -0.98   0.329    -.0570242    .0192727
_Iyea~gc1300 |  -.0143584   .0199408    -0.72   0.473    -.0538117    .0250949
_Iyea~gc1400 |  -.0263986   .0264502    -1.00   0.320    -.0787311    .0259338
_Iyea~gc1500 |  -.0208958   .0169306    -1.23   0.219    -.0543933    .0126017
_Iyea~gc1600 |  -.0095554   .0166512    -0.57   0.567    -.0425002    .0233894
_Iyea~gc1700 |  -.0293865   .0243557    -1.21   0.230    -.0775748    .0188018
_Iyea~gc1750 |  -.0351888   .0224676    -1.57   0.120    -.0796415    .0092639
_Iyea~gc1800 |  -.0373499   .0231961    -1.61   0.110     -.083244    .0085441
_Iyea~gc1850 |  -.0155131   .0257886    -0.60   0.549    -.0665366    .0355103
_Iyea~gc1900 |   -.004687   .0410458    -0.11   0.909    -.0858972    .0765231
 _Iyear_1100 |   .0332377   .0585727     0.57   0.571    -.0826498    .1491252
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |   .0087401    .046291     0.19   0.851    -.0828477    .1003279
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_esp |  (omitted)
_Iyea~l_1100 |   .0139588   .0205257     0.68   0.498    -.0266518    .0545694
_Iyea~l_1200 |   .0245371   .0166329     1.48   0.143    -.0083714    .0574457
_Iyea~l_1300 |   .0084785   .0164867     0.51   0.608    -.0241409    .0410979
_Iyea~l_1400 |    .018499   .0202983     0.91   0.364    -.0216617    .0586596
_Iyea~l_1500 |  -.0015867   .0172769    -0.09   0.927    -.0357696    .0325961
_Iyea~l_1600 |  -.0391238   .0418167    -0.94   0.351    -.1218592    .0436116
_Iyea~l_1700 |  -.0117972   .0196438    -0.60   0.549    -.0506629    .0270685
_Iyea~l_1750 |   .0002444    .019129     0.01   0.990    -.0376028    .0380916
_Iyea~l_1800 |   .0122152   .0203235     0.60   0.549    -.0279954    .0524258
_Iyea~l_1850 |   .0127108   .0220206     0.58   0.565    -.0308575    .0562792
_Iyea~l_1900 |   .0103287   .0278875     0.37   0.712    -.0448475    .0655049
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_gbr |  (omitted)
_Iyea~la1100 |   -.013355   .0240236    -0.56   0.579    -.0608862    .0341763
_Iyea~la1200 |   .0109055   .0150032     0.73   0.469    -.0187788    .0405898
_Iyea~la1300 |   .0023884   .0140781     0.17   0.866    -.0254656    .0302423
_Iyea~la1400 |   .0102232   .0134944     0.76   0.450    -.0164757    .0369221
_Iyea~la1500 |  -.0115693   .0176315    -0.66   0.513    -.0464537    .0233151
_Iyea~la1600 |  -.0582496   .0520145    -1.12   0.265    -.1611616    .0446625
_Iyea~la1700 |  -.0284434   .0191649    -1.48   0.140    -.0663616    .0094747
_Iyea~la1750 |  -.0384922   .0276566    -1.39   0.166    -.0932115    .0162271
_Iyea~la1800 |  -.0203517   .0245392    -0.83   0.408    -.0689031    .0281998
_Iyea~la1850 |  -.0330343   .0212919    -1.55   0.123    -.0751609    .0090923
_Iyea~la1900 |  -.0071254   .0208315    -0.34   0.733    -.0483411    .0340903
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_fra |  (omitted)
_Iyea~lb1100 |  -.0065376   .0252108    -0.26   0.796    -.0564178    .0433427
_Iyea~lb1200 |   .0207519   .0238075     0.87   0.385    -.0263519    .0678557
_Iyea~lb1300 |   .0137522   .0214368     0.64   0.522     -.028661    .0561655
_Iyea~lb1400 |    .021085   .0265282     0.79   0.428    -.0314018    .0735717
_Iyea~lb1500 |    .004864   .0253249     0.19   0.848    -.0452419    .0549699
_Iyea~lb1600 |  -.0323798    .035926    -0.90   0.369    -.1034601    .0387006
_Iyea~lb1700 |  -.0065572   .0222935    -0.29   0.769    -.0506655    .0375511
_Iyea~lb1750 |  -.0091007   .0213614    -0.43   0.671    -.0513648    .0331635
_Iyea~lb1800 |  -.0006315   .0215078    -0.03   0.977    -.0431852    .0419223
_Iyea~lb1850 |  -.0148568   .0223137    -0.67   0.507     -.059005    .0292913
_Iyea~lb1900 |    .017023   .0278597     0.61   0.542    -.0380982    .0721441
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |   .0049322   .0475385     0.10   0.918    -.0891239    .0989882
 _Iyear_1900 |  (omitted)
  colony_prt |  (omitted)
_Iyea~lc1100 |  -.0136798   .0186481    -0.73   0.465    -.0505755     .023216
_Iyea~lc1200 |   .0030458   .0131662     0.23   0.817    -.0230038    .0290954
_Iyea~lc1300 |  -.0049776    .014849    -0.34   0.738    -.0343567    .0244014
_Iyea~lc1400 |  -.0061858   .0167154    -0.37   0.712    -.0392576    .0268861
_Iyea~lc1500 |  -.0106506   .0186909    -0.57   0.570     -.047631    .0263299
_Iyea~lc1600 |  -.0508582   .0407095    -1.25   0.214    -.1314029    .0296865
_Iyea~lc1700 |  -.0311111   .0171768    -1.81   0.072    -.0650959    .0028737
_Iyea~lc1750 |  -.0314979   .0186082    -1.69   0.093    -.0683148     .005319
_Iyea~lc1800 |  -.0195564   .0182889    -1.07   0.287    -.0557413    .0166286
_Iyea~lc1850 |  -.0249044   .0189355    -1.32   0.191    -.0623689      .01256
_Iyea~lc1900 |   -.011827   .0281807    -0.42   0.675    -.0675832    .0439292
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |   .0165649   .0294718     0.56   0.575    -.0417458    .0748757
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
  colony_oeu |  (omitted)
_IyeaX~d1100 |  -.0213607   .0245976    -0.87   0.387    -.0700276    .0273063
_IyeaX~d1200 |  -.0014546   .0150229    -0.10   0.923    -.0311778    .0282686
_IyeaX~d1300 |   .0032133   .0137481     0.23   0.816    -.0239876    .0304142
_IyeaX~d1400 |   .0076201   .0175391     0.43   0.665    -.0270814    .0423216
_IyeaX~d1500 |  -.0084255     .01655    -0.51   0.612    -.0411701    .0243192
_IyeaX~d1600 |  -.0375402   .0397381    -0.94   0.347     -.116163    .0410826
_IyeaX~d1700 |  -.0153333   .0159436    -0.96   0.338    -.0468781    .0162115
_IyeaX~d1750 |  -.0155898   .0165638    -0.94   0.348    -.0483616     .017182
_IyeaX~d1800 |  -.0047979   .0172513    -0.28   0.781      -.03893    .0293342
_IyeaX~d1850 |  -.0080604    .016666    -0.48   0.629    -.0410346    .0249137
_IyeaX~d1900 |   .0102155   .0275274     0.37   0.711    -.0442482    .0646792
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  -.0358198   .0355084    -1.01   0.315     -.106074    .0344344
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
     attrade |  (omitted)
_IyeaXa~1100 |  -.0298477   .0250141    -1.19   0.235    -.0793387    .0196433
_IyeaXa~1200 |  -.0242874   .0206749    -1.17   0.242    -.0651932    .0166184
_IyeaXa~1300 |  -.0352266   .0295001    -1.19   0.235    -.0935932      .02314
_IyeaXa~1400 |  -.0712739   .0489811    -1.46   0.148    -.1681842    .0256363
_IyeaXa~1500 |  -.0561948   .0418036    -1.34   0.181    -.1389043    .0265148
_IyeaXa~1600 |  -.0320459   .0315868    -1.01   0.312    -.0945413    .0304494
_IyeaXa~1700 |  -.0120403    .053709    -0.22   0.823    -.1183049    .0942243
_IyeaXa~1750 |  -.0069536    .042763    -0.16   0.871    -.0915612    .0776539
_IyeaXa~1800 |  -.0033435   .0400494    -0.08   0.934    -.0825824    .0758953
_IyeaXa~1850 |  -.0431428   .0444992    -0.97   0.334    -.1311856       .0449
_IyeaXa~1900 |  -.0904882   .0713159    -1.27   0.207    -.2315885    .0506121
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       roman |  (omitted)
_IyeaXr~1100 |    .025819   .0247053     1.05   0.298     -.023061    .0746991
_IyeaXr~1200 |   .0162701   .0151169     1.08   0.284    -.0136391    .0461793
_IyeaXr~1300 |   .0036345   .0159625     0.23   0.820    -.0279477    .0352166
_IyeaXr~1400 |   .0674215   .0365804     1.84   0.068    -.0049537    .1397967
_IyeaXr~1500 |   .0374842   .0286731     1.31   0.193    -.0192462    .0942146
_IyeaXr~1600 |   .0029471   .0292447     0.10   0.920    -.0549143    .0608085
_IyeaXr~1700 |   .0249288   .0254671     0.98   0.329    -.0254584     .075316
_IyeaXr~1750 |  -.0011734   .0243496    -0.05   0.962    -.0493496    .0470028
_IyeaXr~1800 |   .0111089   .0238567     0.47   0.642    -.0360921      .05831
_IyeaXr~1850 |   .0539626   .0326982     1.65   0.101    -.0107317    .1186568
_IyeaXr~1900 |   .1069005   .0639477     1.67   0.097    -.0196217    .2334226
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  -.0127715   .0631528    -0.20   0.840     -.137721    .1121779
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  -.0887729   .1019478    -0.87   0.385    -.2904791    .1129333
  protestant |  (omitted)
_IyeaXp~1100 |  -.0017203    .012978    -0.13   0.895    -.0273976     .023957
_IyeaXp~1200 |     .00246    .007413     0.33   0.741    -.0122068    .0171268
_IyeaXp~1300 |   .0174773   .0105094     1.66   0.099    -.0033159    .0382705
_IyeaXp~1400 |  -.0145873   .0246007    -0.59   0.554    -.0632603    .0340858
_IyeaXp~1500 |  -.0005503   .0161196    -0.03   0.973    -.0324433    .0313426
_IyeaXp~1600 |   .0097604   .0132981     0.73   0.464    -.0165502     .036071
_IyeaXp~1700 |   .0164516   .0200075     0.82   0.412    -.0231338     .056037
_IyeaXp~1750 |   .0173158   .0155293     1.12   0.267    -.0134092    .0480409
_IyeaXp~1800 |   .0168146   .0147659     1.14   0.257    -.0124001    .0460293
_IyeaXp~1850 |   .0256977   .0183525     1.40   0.164    -.0106132    .0620086
_IyeaXp~1900 |   .0772126   .0393473     1.96   0.052     -.000637    .1550623
ln_dist_~100 |   .0199771   .0146838     1.36   0.176    -.0090751    .0490293
ln_dist_~200 |   .0137584   .0081552     1.69   0.094    -.0023768    .0298935
ln_dist_~300 |   .0044251   .0065283     0.68   0.499    -.0084913    .0173416
ln_dist_~400 |   .0072298    .006559     1.10   0.272    -.0057473     .020207
ln_dist_~500 |   .0052807   .0048614     1.09   0.279    -.0043377    .0148991
ln_dist_~600 |   .0073726   .0107311     0.69   0.493    -.0138592    .0286043
ln_dist_~700 |   .0028126   .0064079     0.44   0.661    -.0098656    .0154907
ln_dist_~750 |   .0048228   .0066345     0.73   0.469    -.0083037    .0179494
ln_dist_~800 |   .0039674   .0066374     0.60   0.551    -.0091649    .0170997
ln_dist_~850 |   .0032056   .0070571     0.45   0.650    -.0107571    .0171683
ln_dist_~900 |  -.0076117   .0100979    -0.75   0.452    -.0275907    .0123673
ln_expo~1100 |  (omitted)
ln_expo~1200 |  (omitted)
ln_expo~1300 |  (omitted)
ln_expo~1400 |  (omitted)
ln_expo~1500 |  (omitted)
ln_expo~1600 |  -.0011998   .0020357    -0.59   0.557    -.0052274    .0028279
ln_expo~1700 |   5.66e-06   .0005657     0.01   0.992    -.0011136     .001125
ln_expo~1750 |  -.0013883   .0008476    -1.64   0.104    -.0030653    .0002887
ln_expo~1800 |  -.0012729   .0009028    -1.41   0.161    -.0030592    .0005133
ln_expo~1850 |  -.0003362   .0008777    -0.38   0.702    -.0020727    .0014003
ln_expo~1900 |  -.0032873   .0022726    -1.45   0.150    -.0077837    .0012092
ln_owor~1100 |  -.0064118   .0064825    -0.99   0.324    -.0192376     .006414
ln_owor~1200 |  -.0013217    .003247    -0.41   0.685     -.007746    .0051025
ln_owor~1300 |  -.0001946    .002161    -0.09   0.928    -.0044702     .004081
ln_owor~1400 |   .0004145   .0019968     0.21   0.836    -.0035362    .0043652
ln_owor~1500 |  -.0004251   .0021655    -0.20   0.845    -.0047096    .0038593
ln_owor~1600 |  -.0008207   .0023998    -0.34   0.733    -.0055688    .0039273
ln_owor~1700 |   .0010444   .0021679     0.48   0.631    -.0032448    .0053337
ln_owor~1750 |  -.0010369   .0025286    -0.41   0.682    -.0060398     .003966
ln_owor~1800 |  -.0001766   .0024773    -0.07   0.943    -.0050779    .0047247
ln_owor~1850 |  -.0025119   .0023263    -1.08   0.282    -.0071145    .0020908
ln_owor~1900 |   .0069423    .003016     2.30   0.023     .0009751    .0129095
ln_elev~1100 |  -.0139804   .0135145    -1.03   0.303    -.0407192    .0127585
ln_elev~1200 |  -.0122696   .0082359    -1.49   0.139    -.0285646    .0040253
ln_elev~1300 |  -.0021238   .0086704    -0.24   0.807    -.0192784    .0150309
ln_elev~1400 |  -.0046316   .0093158    -0.50   0.620    -.0230632       .0138
ln_elev~1500 |  -.0005651   .0080267    -0.07   0.944    -.0164462    .0153161
ln_elev~1600 |  -.0084093   .0178086    -0.47   0.638    -.0436441    .0268255
ln_elev~1700 |  -.0051896   .0093065    -0.56   0.578    -.0236028    .0132236
ln_elev~1750 |  -.0093244   .0092794    -1.00   0.317     -.027684    .0090351
ln_elev~1800 |  -.0085381   .0090182    -0.95   0.346    -.0263808    .0093046
ln_elev~1850 |  -.0064528   .0094903    -0.68   0.498    -.0252296     .012324
ln_elev~1900 |   .0023775   .0164092     0.14   0.885    -.0300886    .0348435
ln_trop~1100 |   .0035682   .0029122     1.23   0.223    -.0021936      .00933
ln_trop~1200 |   .0012439    .001803     0.69   0.491    -.0023233     .004811
ln_trop~1300 |   .0015256   .0019913     0.77   0.445    -.0024143    .0054655
ln_trop~1400 |   .0018333   .0021297     0.86   0.391    -.0023804     .006047
ln_trop~1500 |   .0019829   .0021233     0.93   0.352    -.0022181    .0061839
ln_trop~1600 |   .0044395   .0038265     1.16   0.248    -.0031312    .0120103
ln_trop~1700 |   .0012458    .002066     0.60   0.548    -.0028418    .0053334
ln_trop~1750 |   .0018869   .0021082     0.90   0.372    -.0022841     .006058
ln_trop~1800 |   .0010903   .0020711     0.53   0.599    -.0030074     .005188
ln_trop~1850 |   .0022291   .0019915     1.12   0.265    -.0017111    .0061693
ln_trop~1900 |   .0000257   .0031145     0.01   0.993    -.0061364    .0061879
ln_rugg~1100 |   .0023381   .0069655     0.34   0.738    -.0114434    .0161196
ln_rugg~1200 |   .0059284   .0056101     1.06   0.293    -.0051714    .0170281
ln_rugg~1300 |   -.001205   .0060184    -0.20   0.842    -.0131125    .0107025
ln_rugg~1400 |  -.0065095   .0100028    -0.65   0.516    -.0263003    .0132813
ln_rugg~1500 |  -.0007193   .0065312    -0.11   0.912    -.0136414    .0122028
ln_rugg~1600 |   .0035203   .0148732     0.24   0.813    -.0259066    .0329473
ln_rugg~1700 |  -.0067131   .0071605    -0.94   0.350    -.0208803    .0074541
ln_rugg~1750 |  -.0021951   .0068295    -0.32   0.748    -.0157074    .0113171
ln_rugg~1800 |  -.0028086   .0065672    -0.43   0.670    -.0158019    .0101847
ln_rugg~1850 |  -.0064862   .0069249    -0.94   0.351    -.0201874    .0072149
ln_rugg~1900 |  -.0291925   .0165051    -1.77   0.079    -.0618482    .0034633
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  -.0180521   .0460178    -0.39   0.695    -.1090994    .0729952
 _Iyear_1500 |    -.03849   .0432215    -0.89   0.375    -.1240047    .0470247
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  -.0027913   .0444281    -0.06   0.950    -.0906934    .0851108
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       _cons |   .0139176   .0037433     3.72   0.000     .0065114    .0213238
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. 
. *******************************
. *** Table 7 - Continent FEs ***
. *******************************
. 
. *** Total Population ***
. * Baseline without Cont FEs (Col 1) 
. xi: areg ln_population ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tro
> pical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =   59.01
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.9899
                                                       Adj R-squared =  0.9885
                                                       Root MSE      =  .24742

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0324743   .0116344     2.79   0.006     .0094554    .0554933
ln_owor~1100 |    .015235   .0040292     3.78   0.000     .0072631    .0232069
ln_owor~1200 |   .0369835    .006762     5.47   0.000     .0236048    .0503622
ln_owor~1300 |   .0525915    .008557     6.15   0.000     .0356613    .0695218
ln_owor~1400 |   .0333736   .0097894     3.41   0.001     .0140049    .0527422
ln_owor~1500 |   .0580615   .0112321     5.17   0.000     .0358385    .0802845
ln_owor~1600 |   .0682408   .0102973     6.63   0.000     .0478673    .0886143
ln_owor~1700 |    .078719   .0127522     6.17   0.000     .0534885    .1039494
ln_owor~1750 |   .0614275   .0178208     3.45   0.001     .0261686    .0966864
ln_owor~1800 |   .0822527   .0186331     4.41   0.000     .0453867    .1191187
ln_owor~1850 |   .1062787   .0195893     5.43   0.000     .0675207    .1450366
ln_owor~1900 |   .1387866   .0221295     6.27   0.000      .095003    .1825703
ln_elev~1100 |  -.0155791   .0115258    -1.35   0.179    -.0383832    .0072249
ln_elev~1200 |  -.0468305   .0236598    -1.98   0.050    -.0936419   -.0000191
ln_elev~1300 |  -.0758003    .032345    -2.34   0.021    -.1397957   -.0118049
ln_elev~1400 |  -.0312558   .0335634    -0.93   0.353    -.0976618    .0351502
ln_elev~1500 |  -.0701669   .0418284    -1.68   0.096    -.1529254    .0125915
ln_elev~1600 |  -.1036784   .0451877    -2.29   0.023    -.1930834   -.0142733
ln_elev~1700 |  -.1656741   .0552153    -3.00   0.003     -.274919   -.0564293
ln_elev~1750 |  -.1731198   .0607593    -2.85   0.005    -.2933336    -.052906
ln_elev~1800 |  -.2049785   .0661316    -3.10   0.002    -.3358215   -.0741355
ln_elev~1850 |  -.2264973   .0728878    -3.11   0.002    -.3707077    -.082287
ln_elev~1900 |  -.2854032   .0885897    -3.22   0.002    -.4606802   -.1101263
ln_trop~1100 |   -.003964   .0022689    -1.75   0.083    -.0084531     .000525
ln_trop~1200 |  -.0115536   .0046079    -2.51   0.013    -.0206705   -.0024367
ln_trop~1300 |  -.0130915   .0063283    -2.07   0.041    -.0256122   -.0005709
ln_trop~1400 |   .0100387   .0071158     1.41   0.161    -.0040401    .0241175
ln_trop~1500 |   .0042562   .0085899     0.50   0.621     -.012739    .0212515
ln_trop~1600 |  -.0030181   .0087737    -0.34   0.731    -.0203771    .0143408
ln_trop~1700 |   .0003774   .0105295     0.04   0.971    -.0204555    .0212103
ln_trop~1750 |   .0063534   .0108277     0.59   0.558    -.0150695    .0277763
ln_trop~1800 |  -.0055897   .0119536    -0.47   0.641    -.0292402    .0180608
ln_trop~1850 |  -.0166042   .0132101    -1.26   0.211    -.0427407    .0095322
ln_trop~1900 |  -.0257982   .0154663    -1.67   0.098    -.0563986    .0048023
ln_rugg~1100 |    .005212    .011302     0.46   0.645    -.0171492    .0275732
ln_rugg~1200 |   .0138342   .0227848     0.61   0.545     -.031246    .0589144
ln_rugg~1300 |   .0346987    .030947     1.12   0.264    -.0265307    .0959282
ln_rugg~1400 |   .0146235   .0394415     0.37   0.711    -.0634124    .0926595
ln_rugg~1500 |   .0451544   .0465175     0.97   0.334    -.0468816    .1371904
ln_rugg~1600 |   .0561151    .049275     1.14   0.257    -.0413766    .1536069
ln_rugg~1700 |   .0818323   .0607613     1.35   0.180    -.0383855      .20205
ln_rugg~1750 |   .0834102   .0714929     1.17   0.245    -.0580403    .2248606
ln_rugg~1800 |   .1053483   .0770489     1.37   0.174    -.0470949    .2577914
ln_rugg~1850 |   .1045483   .0817592     1.28   0.203    -.0572143    .2663108
ln_rugg~1900 |   .1677274   .0973971     1.72   0.087    -.0249751      .36043
 _Iyear_1100 |   .1310237   .0702073     1.87   0.064    -.0078831    .2699306
 _Iyear_1200 |   .3322073   .1387096     2.39   0.018     .0577669    .6066477
 _Iyear_1300 |   .5091315   .1903002     2.68   0.008     .1326178    .8856452
 _Iyear_1400 |    .282788   .1957321     1.44   0.151    -.1044728    .6700488
 _Iyear_1500 |   .4985937   .2480018     2.01   0.046      .007916    .9892714
 _Iyear_1600 |   .8472094   .2696652     3.14   0.002     .3136701    1.380749
 _Iyear_1700 |   1.260988   .3260549     3.87   0.000     .6158801    1.906095
 _Iyear_1750 |   1.397979   .3559801     3.93   0.000     .6936641    2.102295
 _Iyear_1800 |    1.62504   .3887998     4.18   0.000     .8557897     2.39429
 _Iyear_1850 |   1.857155   .4259837     4.36   0.000     1.014336    2.699974
 _Iyear_1900 |   2.380244   .5275065     4.51   0.000     1.336559    3.423928
       _cons |   12.64235    .032383   390.40   0.000     12.57827    12.70642
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * No controls with Cont FEs (Col 2)
. xi: areg ln_population ln_wpot_post i.year*cont_africa i.year*cont_asia i.year*cont_euro
> pe i.year*cont_oceania i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*cont_~ca   _IyeaXcon_#         (coded as above)
i.year*cont~sia   _IyeaXcona#         (coded as above)
i.year*cont_e~e   _IyeaXconb#         (coded as above)
i.year*cont_o~a   _IyeaXconc#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 33, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9897
                                                       Adj R-squared =  0.9884
                                                       Root MSE      =  .24817

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0313996   .0126399     2.48   0.014     .0063912     .056408
 _Iyear_1100 |   .1026867    .009964    10.31   0.000     .0829726    .1224008
 _Iyear_1200 |   .4733479   .0428096    11.06   0.000     .3886481    .5580477
 _Iyear_1300 |   .2002538   .0486757     4.11   0.000     .1039477    .2965598
 _Iyear_1400 |   .2520698   .0575997     4.38   0.000     .1381075    .3660322
 _Iyear_1500 |   .7186985   .0710303    10.12   0.000     .5781633    .8592338
 _Iyear_1600 |   .9505184   .0756988    12.56   0.000     .8007464     1.10029
 _Iyear_1700 |   1.115866   .0873325    12.78   0.000     .9430769    1.288656
 _Iyear_1750 |   1.080661   .1397437     7.73   0.000     .8041743    1.357147
 _Iyear_1800 |   .7577198    .113024     6.70   0.000      .534099    .9813406
 _Iyear_1850 |   1.715833   .1635357    10.49   0.000     1.392274    2.039393
 _Iyear_1900 |    1.29691   .0718308    18.06   0.000     1.154791     1.43903
 cont_africa |  (omitted)
_IyeaX~_1100 |  (omitted)
_IyeaX~_1200 |  -.2679744   .0472206    -5.67   0.000    -.3614016   -.1745472
_IyeaX~_1300 |   .1078068   .0571215     1.89   0.061    -.0052094     .220823
_IyeaX~_1400 |    .158678   .0700445     2.27   0.025     .0200933    .2972628
_IyeaX~_1500 |  -.2052635   .0867721    -2.37   0.019    -.3769443   -.0335827
_IyeaX~_1600 |  -.2749472   .0872247    -3.15   0.002    -.4475234   -.1023711
_IyeaX~_1700 |  -.3223036   .1058658    -3.04   0.003    -.5317617   -.1128456
_IyeaX~_1750 |  -.2908469   .1388044    -2.10   0.038    -.5654748   -.0162189
_IyeaX~_1800 |   .1068976    .124141     0.86   0.391    -.1387184    .3525136
_IyeaX~_1850 |  -.6910823   .1632715    -4.23   0.000    -1.014119   -.3680458
_IyeaX~_1900 |  (omitted)
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   cont_asia |  (omitted)
_IyeaX~a1100 |  -.0071997   .0208689    -0.34   0.731    -.0484893    .0340898
_IyeaX~a1200 |  -.2894097   .0554838    -5.22   0.000    -.3991857   -.1796337
_IyeaX~a1300 |  (omitted)
_IyeaX~a1400 |  (omitted)
_IyeaX~a1500 |  -.3992621   .0990878    -4.03   0.000    -.5953098   -.2032144
_IyeaX~a1600 |  -.4238888   .1056117    -4.01   0.000    -.6328441   -.2149334
_IyeaX~a1700 |  -.4880885   .1259403    -3.88   0.000    -.7372646   -.2389124
_IyeaX~a1750 |  -.4230805   .1476023    -2.87   0.005    -.7151153   -.1310458
_IyeaX~a1800 |  (omitted)
_IyeaX~a1850 |  -.7417321   .1774302    -4.18   0.000    -1.092782   -.3906821
_IyeaX~a1900 |   .0067825   .1582503     0.04   0.966    -.3063195    .3198845
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
 cont_europe |  (omitted)
_IyeaX~b1100 |   .1159076   .0240271     4.82   0.000     .0683694    .1634457
_IyeaX~b1200 |  (omitted)
_IyeaX~b1300 |   .4917773   .0724322     6.79   0.000     .3484685    .6350861
_IyeaX~b1400 |   .2658526   .0763002     3.48   0.001     .1148908    .4168143
_IyeaX~b1500 |  (omitted)
_IyeaX~b1600 |  (omitted)
_IyeaX~b1700 |  (omitted)
_IyeaX~b1750 |  (omitted)
_IyeaX~b1800 |   .5903293   .1597815     3.69   0.000     .2741977    .9064609
_IyeaX~b1850 |  (omitted)
_IyeaX~b1900 |   .8511115   .1780237     4.78   0.000     .4988873    1.203336
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
cont_oceania |  (omitted)
_IyeaX~c1100 |  -.0756573   .0129776    -5.83   0.000    -.1013338   -.0499808
_IyeaX~c1200 |  -.4192779   .0459273    -9.13   0.000    -.5101462   -.3284096
_IyeaX~c1300 |  -.1191324   .0546996    -2.18   0.031    -.2273569   -.0109079
_IyeaX~c1400 |  -.5129807   .3570924    -1.44   0.153    -1.219497    .1935354
_IyeaX~c1500 |  -.5785392   .0773242    -7.48   0.000    -.7315272   -.4255513
_IyeaX~c1600 |  -.7874616   .0846789    -9.30   0.000    -.9550008   -.6199224
_IyeaX~c1700 |  -.8605897   .1150156    -7.48   0.000    -1.088151   -.6330285
_IyeaX~c1750 |  -.8775101   .1650736    -5.32   0.000    -1.204112    -.550908
_IyeaX~c1800 |  -.5084541   .1798432    -2.83   0.005    -.8642783     -.15263
_IyeaX~c1850 |  -1.374014   .1905164    -7.21   0.000    -1.750956   -.9970729
_IyeaX~c1900 |  -.1741349    .480901    -0.36   0.718    -1.125609    .7773396
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       _cons |   12.64504   .0315423   400.89   0.000     12.58264    12.70745
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Baseline with Cont FEs (Col 3)
. xi: areg ln_population ln_wpot_post i.year*cont_africa i.year*cont_asia i.year*cont_euro
> pe i.year*cont_oceania `ln_oworld_flexible' `ln_elevation_flexible' `ln_tropical_flexibl
> e' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*cont_~ca   _IyeaXcon_#         (coded as above)
i.year*cont~sia   _IyeaXcona#         (coded as above)
i.year*cont_e~e   _IyeaXconb#         (coded as above)
i.year*cont_o~a   _IyeaXconc#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 82, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.9913
                                                       Adj R-squared =  0.9898
                                                       Root MSE      =  .23227

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
ln_populat~n |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0204687    .012601     1.62   0.107    -.0044626    .0454001
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
 cont_africa |  (omitted)
_IyeaX~_1100 |  -.0435523   .0876616    -0.50   0.620    -.2169929    .1298883
_IyeaX~_1200 |   .0074471   .1614023     0.05   0.963    -.3118912    .3267854
_IyeaX~_1300 |   .1036002   .1939877     0.53   0.594    -.2802092    .4874096
_IyeaX~_1400 |   .0759416   .2563656     0.30   0.768    -.4312841    .5831672
_IyeaX~_1500 |   .2812175   .2920933     0.96   0.337    -.2966963    .8591313
_IyeaX~_1600 |   .6451613   .2961044     2.18   0.031     .0593115    1.231011
_IyeaX~_1700 |   1.028273   .3827721     2.69   0.008     .2709488    1.785597
_IyeaX~_1750 |   1.097285   .4095538     2.68   0.008     .2869732    1.907598
_IyeaX~_1800 |   1.150386   .4443854     2.59   0.011     .2711582    2.029613
_IyeaX~_1850 |   1.058193   .4486474     2.36   0.020     .1705333    1.945853
_IyeaX~_1900 |   1.439744   .6025292     2.39   0.018     .2476251    2.631863
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   cont_asia |  (omitted)
_IyeaX~a1100 |  -.0133752   .0723217    -0.18   0.854    -.1564654    .1297151
_IyeaX~a1200 |   .0485576   .1405675     0.35   0.730    -.2295587    .3266738
_IyeaX~a1300 |   .0764931    .170285     0.45   0.654    -.2604199     .413406
_IyeaX~a1400 |   .0606825   .2227534     0.27   0.786    -.3800405    .5014055
_IyeaX~a1500 |   .2045378   .2611488     0.78   0.435    -.3121515     .721227
_IyeaX~a1600 |    .595941    .279037     2.14   0.035     .0438595    1.148023
_IyeaX~a1700 |   .9767415   .3506568     2.79   0.006     .2829584    1.670525
_IyeaX~a1750 |    1.08199    .371196     2.91   0.004     .3475698    1.816411
_IyeaX~a1800 |   1.158291     .39788     2.91   0.004     .3710751    1.945506
_IyeaX~a1850 |    1.17476   .4040686     2.91   0.004     .3753004     1.97422
_IyeaX~a1900 |   1.571897   .5241774     3.00   0.003     .5347986    2.608994
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
 cont_europe |  (omitted)
_IyeaX~b1100 |   .1326211   .0749785     1.77   0.079    -.0157257    .2809678
_IyeaX~b1200 |   .3483464   .1369519     2.54   0.012     .0773837    .6193091
_IyeaX~b1300 |   .6270756   .1728311     3.63   0.000     .2851249    .9690262
_IyeaX~b1400 |   .5039098   .2059198     2.45   0.016     .0964924    .9113272
_IyeaX~b1500 |   .6884026   .2427077     2.84   0.005     .2081995    1.168606
_IyeaX~b1600 |   1.047726   .2614231     4.01   0.000     .5304946    1.564958
_IyeaX~b1700 |    1.48141   .3168006     4.68   0.000      .854612    2.108208
_IyeaX~b1750 |   1.614646   .3437819     4.70   0.000     .9344655    2.294827
_IyeaX~b1800 |   1.837794   .3774753     4.87   0.000      1.09095    2.584638
_IyeaX~b1850 |   1.997193   .3943676     5.06   0.000     1.216927    2.777459
_IyeaX~b1900 |   2.359568    .518688     4.55   0.000     1.333331    3.385805
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
cont_oceania |  (omitted)
_IyeaX~c1100 |  -.1258216   .0831733    -1.51   0.133     -.290382    .0387388
_IyeaX~c1200 |  -.1395974   .1570405    -0.89   0.376    -.4503058     .171111
_IyeaX~c1300 |  -.1667931    .187165    -0.89   0.375    -.5371036    .2035174
_IyeaX~c1400 |  -.6975781   .4822158    -1.45   0.150    -1.651654    .2564976
_IyeaX~c1500 |  -.1685474    .281252    -0.60   0.550    -.7250114    .3879165
_IyeaX~c1600 |   .0593996   .2949942     0.20   0.841    -.5242536    .6430527
_IyeaX~c1700 |   .3884889   .3680311     1.06   0.293    -.3396696    1.116647
_IyeaX~c1750 |    .393487   .3882687     1.01   0.313     -.374712    1.161686
_IyeaX~c1800 |   .4277807   .4199476     1.02   0.310    -.4030958    1.258657
_IyeaX~c1850 |    .307138   .4179469     0.73   0.464    -.5197802    1.134056
_IyeaX~c1900 |   1.240288   .5771593     2.15   0.034     .0983644    2.382212
ln_owor~1100 |    .001557   .0044919     0.35   0.729    -.0073303    .0104443
ln_owor~1200 |   .0101188   .0083166     1.22   0.226    -.0063359    .0265734
ln_owor~1300 |   .0077227    .011217     0.69   0.492    -.0144705    .0299159
ln_owor~1400 |  -.0106961   .0201112    -0.53   0.596    -.0504867    .0290945
ln_owor~1500 |   .0172544   .0168919     1.02   0.309    -.0161666    .0506755
ln_owor~1600 |   .0271317   .0186202     1.46   0.148    -.0097089    .0639723
ln_owor~1700 |   .0330653   .0229708     1.44   0.152     -.012383    .0785136
ln_owor~1750 |   .0228881   .0247052     0.93   0.356    -.0259918    .0717679
ln_owor~1800 |   .0314046   .0267806     1.17   0.243    -.0215815    .0843906
ln_owor~1850 |   .0397637   .0272836     1.46   0.147    -.0142176     .093745
ln_owor~1900 |   .0807274   .0283958     2.84   0.005     .0245455    .1369092
ln_elev~1100 |   .0127377   .0131253     0.97   0.334    -.0132309    .0387064
ln_elev~1200 |   .0072339   .0253945     0.28   0.776    -.0430097    .0574776
ln_elev~1300 |    .000849   .0315688     0.03   0.979    -.0616107    .0633086
ln_elev~1400 |   .0181935   .0417975     0.44   0.664     -.064504     .100891
ln_elev~1500 |  -.0179551   .0457974    -0.39   0.696    -.1085663    .0726561
ln_elev~1600 |  -.0546597   .0491818    -1.11   0.268    -.1519672    .0426478
ln_elev~1700 |   -.110321   .0621541    -1.77   0.078    -.2332944    .0126523
ln_elev~1750 |  -.1112241   .0654815    -1.70   0.092    -.2407809    .0183327
ln_elev~1800 |  -.1152536   .0702712    -1.64   0.103    -.2542869    .0237796
ln_elev~1850 |  -.0914405   .0730257    -1.25   0.213    -.2359237    .0530426
ln_elev~1900 |  -.1362999   .0901784    -1.51   0.133      -.31472    .0421202
ln_trop~1100 |   .0074355   .0029131     2.55   0.012     .0016719    .0131991
ln_trop~1200 |   .0104583   .0060851     1.72   0.088    -.0015813    .0224979
ln_trop~1300 |   .0217694   .0084743     2.57   0.011     .0050028     .038536
ln_trop~1400 |   .0449593    .015282     2.94   0.004     .0147235    .0751951
ln_trop~1500 |   .0349126   .0132415     2.64   0.009     .0087139    .0611112
ln_trop~1600 |   .0286185   .0136753     2.09   0.038     .0015616    .0556754
ln_trop~1700 |   .0356317   .0175223     2.03   0.044     .0009633       .0703
ln_trop~1750 |   .0409066   .0179503     2.28   0.024     .0053915    .0764217
ln_trop~1800 |   .0391958   .0192986     2.03   0.044      .001013    .0773787
ln_trop~1850 |   .0428303    .019474     2.20   0.030     .0043004    .0813601
ln_trop~1900 |   .0265403   .0219741     1.21   0.229     -.016936    .0700166
ln_rugg~1100 |  -.0102912   .0131797    -0.78   0.436    -.0363677    .0157852
ln_rugg~1200 |  -.0134198   .0261417    -0.51   0.609    -.0651418    .0383021
ln_rugg~1300 |    .009643   .0320197     0.30   0.764    -.0537087    .0729947
ln_rugg~1400 |   .0058486   .0451496     0.13   0.897     -.083481    .0951781
ln_rugg~1500 |   .0377198    .051271     0.74   0.463    -.0637211    .1391607
ln_rugg~1600 |   .0486423   .0506936     0.96   0.339    -.0516561    .1489408
ln_rugg~1700 |   .0734368   .0649832     1.13   0.261     -.055134    .2020076
ln_rugg~1750 |   .0744183   .0705467     1.05   0.293      -.06516    .2139966
ln_rugg~1800 |   .0826595   .0760715     1.09   0.279    -.0678499    .2331689
ln_rugg~1850 |   .0488363   .0817983     0.60   0.552    -.1130037    .2106764
ln_rugg~1900 |   .0926466   .1113762     0.83   0.407    -.1277139    .3130071
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       _cons |   12.64643   .0290802   434.88   0.000     12.58889    12.70397
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. 
. *** City Population Share ***
. * Baseline without Cont FEs (Col 4) 
. xi: areg city_pop_share ln_wpot_post `ln_oworld_flexible' `ln_elevation_flexible' `ln_tr
> opical_flexible' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 56,   129) =    3.03
                                                       Prob > F      =  0.0000
                                                       R-squared     =  0.4441
                                                       Adj R-squared =  0.3688
                                                       Root MSE      =  .03868

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |   .0036269   .0011611     3.12   0.002     .0013297    .0059241
ln_owor~1100 |  -.0027789    .002952    -0.94   0.348    -.0086195    .0030618
ln_owor~1200 |  -.0007974   .0014522    -0.55   0.584    -.0036707    .0020758
ln_owor~1300 |  -.0005377   .0010097    -0.53   0.595    -.0025353      .00146
ln_owor~1400 |   .0013151   .0011375     1.16   0.250    -.0009354    .0035656
ln_owor~1500 |    .000625   .0009687     0.65   0.520    -.0012916    .0025417
ln_owor~1600 |   .0017471   .0012308     1.42   0.158    -.0006881    .0041823
ln_owor~1700 |   .0022121    .001109     1.99   0.048     .0000178    .0044063
ln_owor~1750 |  -.0014165   .0017433    -0.81   0.418    -.0048657    .0020327
ln_owor~1800 |  -.0008886   .0016687    -0.53   0.595    -.0041902     .002413
ln_owor~1850 |  -.0011536   .0017242    -0.67   0.505    -.0045649    .0022577
ln_owor~1900 |   .0084499   .0025593     3.30   0.001     .0033862    .0135136
ln_elev~1100 |   .0067226   .0050318     1.34   0.184    -.0032329     .016678
ln_elev~1200 |   .0034578   .0032932     1.05   0.296    -.0030579    .0099735
ln_elev~1300 |   .0035999   .0036971     0.97   0.332    -.0037149    .0109148
ln_elev~1400 |   .0019859   .0046989     0.42   0.673     -.007311    .0112828
ln_elev~1500 |   .0049366   .0047782     1.03   0.303    -.0045171    .0143903
ln_elev~1600 |  -.0016237   .0076557    -0.21   0.832    -.0167708    .0135233
ln_elev~1700 |  -.0045548     .00631    -0.72   0.472    -.0170393    .0079298
ln_elev~1750 |  -.0049402   .0069171    -0.71   0.476    -.0186258    .0087453
ln_elev~1800 |  -.0057942   .0063175    -0.92   0.361    -.0182934    .0067051
ln_elev~1850 |  -.0067614   .0060674    -1.11   0.267     -.018766    .0052432
ln_elev~1900 |  -.0249316   .0089147    -2.80   0.006    -.0425695   -.0072937
ln_trop~1100 |   .0001962   .0008165     0.24   0.810    -.0014193    .0018117
ln_trop~1200 |   .0003037   .0007467     0.41   0.685    -.0011736    .0017811
ln_trop~1300 |   .0009734   .0007666     1.27   0.206    -.0005433    .0024901
ln_trop~1400 |  -.0003589   .0011428    -0.31   0.754    -.0026198    .0019021
ln_trop~1500 |   .0002671   .0008219     0.32   0.746     -.001359    .0018931
ln_trop~1600 |   .0009823   .0015664     0.63   0.532    -.0021169    .0040815
ln_trop~1700 |  -.0011923   .0009913    -1.20   0.231    -.0031537    .0007692
ln_trop~1750 |   .0007007   .0011677     0.60   0.550    -.0016097    .0030111
ln_trop~1800 |   .0003621   .0010914     0.33   0.741    -.0017972    .0025214
ln_trop~1850 |   .0006149   .0011311     0.54   0.588    -.0016229    .0028528
ln_trop~1900 |  -.0061801   .0017128    -3.61   0.000    -.0095688   -.0027914
ln_rugg~1100 |  -.0106255   .0089029    -1.19   0.235    -.0282401    .0069892
ln_rugg~1200 |  -.0045384   .0046118    -0.98   0.327    -.0136629    .0045861
ln_rugg~1300 |  -.0059033   .0048094    -1.23   0.222    -.0154188    .0036121
ln_rugg~1400 |  -.0092067   .0068214    -1.35   0.179     -.022703    .0042895
ln_rugg~1500 |  -.0051998   .0053491    -0.97   0.333    -.0157831    .0053834
ln_rugg~1600 |  -.0007985   .0083459    -0.10   0.924     -.017311     .015714
ln_rugg~1700 |  -.0070481   .0061864    -1.14   0.257     -.019288    .0051918
ln_rugg~1750 |  -.0064152   .0061433    -1.04   0.298    -.0185699    .0057395
ln_rugg~1800 |  -.0059151   .0057743    -1.02   0.308    -.0173397    .0055095
ln_rugg~1850 |  -.0060519   .0056935    -1.06   0.290    -.0173166    .0052128
ln_rugg~1900 |  -.0020558   .0098998    -0.21   0.836    -.0216427    .0175311
 _Iyear_1100 |   -.022744   .0285679    -0.80   0.427    -.0792663    .0337782
 _Iyear_1200 |  -.0163174   .0170973    -0.95   0.342    -.0501449      .01751
 _Iyear_1300 |  -.0285637     .02454    -1.16   0.247    -.0771168    .0199894
 _Iyear_1400 |   -.019356   .0299545    -0.65   0.519    -.0786217    .0399098
 _Iyear_1500 |  -.0348158   .0297443    -1.17   0.244    -.0936656    .0240339
 _Iyear_1600 |  -.0039891   .0423284    -0.09   0.925    -.0877368    .0797585
 _Iyear_1700 |   .0189262   .0390795     0.48   0.629    -.0583935    .0962458
 _Iyear_1750 |   .0255736   .0420897     0.61   0.545    -.0577018     .108849
 _Iyear_1800 |   .0282929   .0387748     0.73   0.467     -.048424    .1050098
 _Iyear_1850 |   .0332241    .037232     0.89   0.374    -.0404404    .1068886
 _Iyear_1900 |   .1434819   .0555175     2.58   0.011     .0336391    .2533248
       _cons |   .0139837   .0037453     3.73   0.000     .0065736    .0213939
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * No controls with Cont FEs (Col 5)
. xi: areg city_pop_share ln_wpot_post i.year*cont_africa i.year*cont_asia i.year*cont_eur
> ope i.year*cont_oceania i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*cont_~ca   _IyeaXcon_#         (coded as above)
i.year*cont~sia   _IyeaXcona#         (coded as above)
i.year*cont_e~e   _IyeaXconb#         (coded as above)
i.year*cont_o~a   _IyeaXconc#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 36, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.4534
                                                       Adj R-squared =  0.3844
                                                       Root MSE      =  .03807

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |    .001811   .0011162     1.62   0.107    -.0003974    .0040195
 _Iyear_1100 |   .0025153   .0040562     0.62   0.536      -.00551    .0105407
 _Iyear_1200 |  -.0107872   .0096963    -1.11   0.268    -.0299715    .0083972
 _Iyear_1300 |  -.0167099   .0084588    -1.98   0.050    -.0334457     .000026
 _Iyear_1400 |  -.0066072   .0095517    -0.69   0.490    -.0255055    .0122911
 _Iyear_1500 |   .0055225   .0058256     0.95   0.345    -.0060036    .0170486
 _Iyear_1600 |   .0091472   .0066017     1.39   0.168    -.0039144    .0222088
 _Iyear_1700 |   .0182432   .0140847     1.30   0.198    -.0096237    .0461101
 _Iyear_1750 |   .0032976   .0209208     0.16   0.875    -.0380949      .04469
 _Iyear_1800 |  -.0132826   .0098903    -1.34   0.182    -.0328508    .0062856
 _Iyear_1850 |   .0125705   .0195779     0.64   0.522    -.0261649    .0513059
 _Iyear_1900 |   .0026652   .0039039     0.68   0.496    -.0050587    .0103892
 cont_africa |  (omitted)
_IyeaX~_1100 |  (omitted)
_IyeaX~_1200 |   .0147597    .011007     1.34   0.182    -.0070179    .0365372
_IyeaX~_1300 |   .0235615   .0095673     2.46   0.015     .0046324    .0424906
_IyeaX~_1400 |   .0130543   .0101888     1.28   0.202    -.0071044    .0332131
_IyeaX~_1500 |   .0033164   .0070625     0.47   0.639    -.0106569    .0172898
_IyeaX~_1600 |  -.0052276   .0072154    -0.72   0.470    -.0195034    .0090482
_IyeaX~_1700 |  -.0125001   .0144884    -0.86   0.390    -.0411658    .0161656
_IyeaX~_1750 |  -.0035493   .0188577    -0.19   0.851    -.0408597    .0337611
_IyeaX~_1800 |   .0125119   .0099979     1.25   0.213    -.0072693    .0322931
_IyeaX~_1850 |  -.0175315   .0177931    -0.99   0.326    -.0527356    .0176726
_IyeaX~_1900 |  (omitted)
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   cont_asia |  (omitted)
_IyeaX~a1100 |   .0059752   .0169022     0.35   0.724    -.0274661    .0394166
_IyeaX~a1200 |   .0176225   .0129447     1.36   0.176    -.0079888    .0432339
_IyeaX~a1300 |  (omitted)
_IyeaX~a1400 |  (omitted)
_IyeaX~a1500 |  -.0162293   .0114443    -1.42   0.159    -.0388722    .0064135
_IyeaX~a1600 |  -.0127798   .0171686    -0.74   0.458    -.0467483    .0211888
_IyeaX~a1700 |  -.0271979   .0169122    -1.61   0.110    -.0606591    .0062633
_IyeaX~a1750 |  -.0149955   .0215394    -0.70   0.488    -.0576116    .0276206
_IyeaX~a1800 |  (omitted)
_IyeaX~a1850 |  -.0322824   .0206013    -1.57   0.120    -.0730426    .0084779
_IyeaX~a1900 |   .0100861   .0104565     0.96   0.337    -.0106022    .0307745
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
 cont_europe |  (omitted)
_IyeaX~b1100 |  -.0136158   .0104757    -1.30   0.196    -.0343424    .0071107
_IyeaX~b1200 |  (omitted)
_IyeaX~b1300 |   .0050122   .0131937     0.38   0.705    -.0210918    .0311162
_IyeaX~b1400 |   .0144235   .0174612     0.83   0.410    -.0201239    .0489708
_IyeaX~b1500 |  (omitted)
_IyeaX~b1600 |  (omitted)
_IyeaX~b1700 |  (omitted)
_IyeaX~b1750 |  (omitted)
_IyeaX~b1800 |   .0189526    .020598     0.92   0.359     -.021801    .0597062
_IyeaX~b1850 |  (omitted)
_IyeaX~b1900 |   .1004626   .0248066     4.05   0.000     .0513822     .149543
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
cont_oceania |  (omitted)
_IyeaX~c1100 |  -.0025153   .0040562    -0.62   0.536    -.0105407      .00551
_IyeaX~c1200 |   .0107872   .0096963     1.11   0.268    -.0083972    .0299715
_IyeaX~c1300 |   .0167099   .0084588     1.98   0.050     -.000026    .0334457
_IyeaX~c1400 |   .0021612   .0105674     0.20   0.838    -.0187467    .0230691
_IyeaX~c1500 |  -.0099684   .0074526    -1.34   0.183    -.0247136    .0047768
_IyeaX~c1600 |  -.0135931   .0080973    -1.68   0.096    -.0296138    .0024275
_IyeaX~c1700 |  -.0226892     .01498    -1.51   0.132    -.0523274     .006949
_IyeaX~c1750 |  -.0134097   .0194239    -0.69   0.491    -.0518404    .0250209
_IyeaX~c1800 |   .0031704   .0113799     0.28   0.781     -.019345    .0256858
_IyeaX~c1850 |  -.0226827   .0183518    -1.24   0.219    -.0589921    .0136268
_IyeaX~c1900 |   .1168759   .0722331     1.62   0.108     -.026039    .2597909
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       _cons |   .0139592   .0037249     3.75   0.000     .0065893    .0213291
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. * Baseline with Cont FEs (Col 6)
. xi: areg city_pop_share ln_wpot_post i.year*cont_africa i.year*cont_asia i.year*cont_eur
> ope i.year*cont_oceania `ln_oworld_flexible' `ln_elevation_flexible' `ln_tropical_flexib
> le' `ln_rugged_flexible' i.year, a(isocode) cluster(isocode)
i.year            _Iyear_1000-1900    (naturally coded; _Iyear_1000 omitted)
i.year*cont_~ca   _IyeaXcon_#         (coded as above)
i.year*cont~sia   _IyeaXcona#         (coded as above)
i.year*cont_e~e   _IyeaXconb#         (coded as above)
i.year*cont_o~a   _IyeaXconc#         (coded as above)

Linear regression, absorbing indicators                Number of obs =    1552
                                                       F( 82, 129)   =       .
                                                       Prob > F      =
                                                       R-squared     =  0.4834
                                                       Adj R-squared =  0.3990
                                                       Root MSE      =  .03765

                              (Std. Err. adjusted for 130 clusters in isocode)
------------------------------------------------------------------------------
             |               Robust
city_pop_s~e |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
ln_wpot_post |    .002157   .0013028     1.66   0.100    -.0004208    .0047347
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
 cont_africa |  (omitted)
_IyeaX~_1100 |  -.0299195   .0488813    -0.61   0.542    -.1266323    .0667932
_IyeaX~_1200 |  -.0013391   .0402645    -0.03   0.974    -.0810033    .0783252
_IyeaX~_1300 |    .011015   .0418259     0.26   0.793    -.0717384    .0937685
_IyeaX~_1400 |  -.0192543   .0410991    -0.47   0.640    -.1005699    .0620613
_IyeaX~_1500 |  -.0246278   .0393684    -0.63   0.533    -.1025192    .0532636
_IyeaX~_1600 |  -.0279261   .0382919    -0.73   0.467    -.1036875    .0478354
_IyeaX~_1700 |   .0240987   .0452036     0.53   0.595    -.0653377    .1135352
_IyeaX~_1750 |   .0317027    .045191     0.70   0.484    -.0577088    .1211142
_IyeaX~_1800 |   .0377355   .0438492     0.86   0.391    -.0490213    .1244923
_IyeaX~_1850 |   .0116995   .0421815     0.28   0.782    -.0717576    .0951566
_IyeaX~_1900 |   .0434265   .0566597     0.77   0.445    -.0686761     .155529
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
   cont_asia |  (omitted)
_IyeaX~a1100 |  -.0166082    .041573    -0.40   0.690    -.0988614    .0656449
_IyeaX~a1200 |   .0025747   .0296171     0.09   0.931    -.0560234    .0611729
_IyeaX~a1300 |  -.0116646   .0379326    -0.31   0.759    -.0867151     .063386
_IyeaX~a1400 |  -.0237814   .0406809    -0.58   0.560    -.1042696    .0567067
_IyeaX~a1500 |    -.03947   .0392398    -1.01   0.316    -.1171068    .0381669
_IyeaX~a1600 |  -.0241887   .0459635    -0.53   0.600    -.1151287    .0667512
_IyeaX~a1700 |   .0136627   .0460473     0.30   0.767     -.077443    .1047685
_IyeaX~a1750 |   .0253138   .0466466     0.54   0.588    -.0669777    .1176052
_IyeaX~a1800 |   .0287045   .0450452     0.64   0.525    -.0604185    .1178275
_IyeaX~a1850 |   .0066022   .0430278     0.15   0.878    -.0785293    .0917337
_IyeaX~a1900 |   .0562363   .0547976     1.03   0.307    -.0521821    .1646546
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
 cont_europe |  (omitted)
_IyeaX~b1100 |  -.0356707   .0305948    -1.17   0.246    -.0962033    .0248619
_IyeaX~b1200 |  -.0216779   .0224449    -0.97   0.336    -.0660857    .0227298
_IyeaX~b1300 |  -.0071115   .0255177    -0.28   0.781    -.0575989    .0433758
_IyeaX~b1400 |  -.0134878   .0270337    -0.50   0.619    -.0669746    .0399991
_IyeaX~b1500 |  -.0174744   .0260639    -0.67   0.504    -.0690424    .0340937
_IyeaX~b1600 |  -.0031063   .0308968    -0.10   0.920    -.0642364    .0580238
_IyeaX~b1700 |   .0306585   .0371073     0.83   0.410    -.0427591    .1040761
_IyeaX~b1750 |   .0357762   .0420338     0.85   0.396    -.0473887    .1189412
_IyeaX~b1800 |   .0405865   .0388849     1.04   0.299    -.0363481    .1175211
_IyeaX~b1850 |   .0436297    .035624     1.22   0.223    -.0268533    .1141128
_IyeaX~b1900 |   .1014898   .0529849     1.92   0.058    -.0033421    .2063217
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
cont_oceania |  (omitted)
_IyeaX~c1100 |  -.0283035   .0495941    -0.57   0.569    -.1264266    .0698195
_IyeaX~c1200 |   .0011943   .0410264     0.03   0.977    -.0799774    .0823661
_IyeaX~c1300 |   .0037346   .0429214     0.09   0.931    -.0811865    .0886556
_IyeaX~c1400 |  -.0239967   .0421117    -0.57   0.570    -.1073157    .0593223
_IyeaX~c1500 |    -.03721   .0398846    -0.93   0.353    -.1161227    .0417027
_IyeaX~c1600 |  -.0369244   .0379976    -0.97   0.333    -.1121037    .0382548
_IyeaX~c1700 |   .0175539   .0465456     0.38   0.707    -.0745376    .1096455
_IyeaX~c1750 |   .0199274   .0462472     0.43   0.667    -.0715739    .1114287
_IyeaX~c1800 |   .0267454   .0449778     0.59   0.553    -.0622443    .1157351
_IyeaX~c1850 |   .0022366   .0428366     0.05   0.958    -.0825166    .0869898
_IyeaX~c1900 |   .1785837   .0653087     2.73   0.007     .0493689    .3077986
ln_owor~1100 |  -.0018755   .0036423    -0.51   0.607    -.0090819     .005331
ln_owor~1200 |   .0009266   .0027327     0.34   0.735    -.0044801    .0063334
ln_owor~1300 |  -1.35e-06   .0023828    -0.00   1.000    -.0047158    .0047131
ln_owor~1400 |   .0006801   .0021076     0.32   0.747    -.0034898      .00485
ln_owor~1500 |  -.0005611    .002001    -0.28   0.780    -.0045201     .003398
ln_owor~1600 |  -.0000978   .0020241    -0.05   0.962    -.0041025    .0039069
ln_owor~1700 |    .001293   .0022299     0.58   0.563     -.003119     .005705
ln_owor~1750 |  -.0006631   .0021297    -0.31   0.756    -.0048767    .0035505
ln_owor~1800 |  -.0001241   .0021549    -0.06   0.954    -.0043876    .0041394
ln_owor~1850 |  -.0024394   .0022281    -1.09   0.276    -.0068478    .0019689
ln_owor~1900 |   .0074944   .0030413     2.46   0.015      .001477    .0135117
ln_elev~1100 |   .0066145   .0088419     0.75   0.456    -.0108793    .0241083
ln_elev~1200 |    .000459   .0065092     0.07   0.944    -.0124195    .0133375
ln_elev~1300 |  -.0008396   .0064953    -0.13   0.897    -.0136907    .0120115
ln_elev~1400 |   .0024907   .0066862     0.37   0.710    -.0107381    .0157196
ln_elev~1500 |   .0048522   .0063335     0.77   0.445    -.0076786    .0173831
ln_elev~1600 |   .0022543   .0071997     0.31   0.755    -.0119905    .0164992
ln_elev~1700 |  -.0043086   .0075483    -0.57   0.569    -.0192431     .010626
ln_elev~1750 |  -.0054863   .0076144    -0.72   0.473    -.0205516     .009579
ln_elev~1800 |  -.0066602   .0073606    -0.90   0.367    -.0212233    .0079028
ln_elev~1850 |  -.0027309    .007086    -0.39   0.701    -.0167506    .0112889
ln_elev~1900 |  -.0114797    .008678    -1.32   0.188    -.0286494    .0056899
ln_trop~1100 |  -.0002458   .0018831    -0.13   0.896    -.0039715    .0034799
ln_trop~1200 |  -.0009712   .0020062    -0.48   0.629    -.0049406    .0029983
ln_trop~1300 |   .0001037   .0019279     0.05   0.957    -.0037107    .0039181
ln_trop~1400 |   .0000536   .0017974     0.03   0.976    -.0035026    .0036098
ln_trop~1500 |   .0009146   .0017685     0.52   0.606    -.0025843    .0044135
ln_trop~1600 |   .0025262   .0024123     1.05   0.297    -.0022465     .007299
ln_trop~1700 |  -.0006737   .0017726    -0.38   0.705    -.0041807    .0028334
ln_trop~1750 |   .0004883   .0016097     0.30   0.762    -.0026966    .0036732
ln_trop~1800 |   .0000858   .0016043     0.05   0.957    -.0030884      .00326
ln_trop~1850 |   .0020384   .0016438     1.24   0.217    -.0012138    .0052907
ln_trop~1900 |  -.0048425   .0019144    -2.53   0.013    -.0086301   -.0010549
ln_rugg~1100 |  -.0125948   .0131184    -0.96   0.339    -.0385498    .0133602
ln_rugg~1200 |  -.0038834   .0074794    -0.52   0.605    -.0186816    .0109149
ln_rugg~1300 |  -.0005265   .0063151    -0.08   0.934    -.0130211     .011968
ln_rugg~1400 |  -.0086589   .0076582    -1.13   0.260    -.0238108     .006493
ln_rugg~1500 |  -.0027093   .0061301    -0.44   0.659    -.0148377    .0094192
ln_rugg~1600 |  -.0026896   .0068053    -0.40   0.693     -.016154    .0107748
ln_rugg~1700 |  -.0054743   .0066867    -0.82   0.414    -.0187041    .0077554
ln_rugg~1750 |  -.0043039   .0061969    -0.69   0.489    -.0165647    .0079568
ln_rugg~1800 |  -.0033009   .0059633    -0.55   0.581    -.0150994    .0084976
ln_rugg~1850 |  -.0059277   .0057488    -1.03   0.304    -.0173018    .0054464
ln_rugg~1900 |  -.0112763   .0100133    -1.13   0.262    -.0310879    .0085354
 _Iyear_1100 |  (omitted)
 _Iyear_1200 |  (omitted)
 _Iyear_1300 |  (omitted)
 _Iyear_1400 |  (omitted)
 _Iyear_1500 |  (omitted)
 _Iyear_1600 |  (omitted)
 _Iyear_1700 |  (omitted)
 _Iyear_1750 |  (omitted)
 _Iyear_1800 |  (omitted)
 _Iyear_1850 |  (omitted)
 _Iyear_1900 |  (omitted)
       _cons |   .0139486   .0037682     3.70   0.000     .0064932     .021404
-------------+----------------------------------------------------------------
     isocode |   absorbed                                     (130 categories)

. 
. log close
      name:  <unnamed>
       log:  /Users/nathannunn/Documents/Dropbox/Potatoes/REPLICATION_FILES/Replication_co
> untry_level_results.log
  log type:  text
 closed on:  19 Sep 2010, 18:34:17
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